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  Subjects -> STATISTICS (Total: 130 journals)
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Journal of Applied Statistics
Journal Prestige (SJR): 0.475
Citation Impact (citeScore): 1
Number of Followers: 20  
 
Hybrid Journal Hybrid journal   * Containing 10 Open Access Open Access article(s) in this issue *
ISSN (Print) 0266-4763 - ISSN (Online) 1360-0532
Published by Taylor and Francis Homepage  [2648 journals]
  • A general class of small area estimation using calibrated hierarchical
           likelihood approach with applications to COVID-19 data

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      Authors: Nirosha Rathnayake, Hongying Daisy Dai, Richard Charnigo, Kendra Schmid, Jane Meza
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-10-01T11:49:56Z
      DOI: 10.1080/02664763.2022.2112556
       
  • New advances in statistics and data science

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      Authors: Jianguo Sun
      Pages: 1 - 3
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-22T11:55:36Z
      DOI: 10.1080/02664763.2022.2125502
       
  • Model averaging in calibration of near-infrared instruments with
           correlated high-dimensional data

         This is an Open Access Article Open Access Article

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      Authors: Deiby Tineke Salaki, Anang Kurnia, Bagus Sartono, I Wayan Mangku, Arief Gusnanto
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-21T11:49:16Z
      DOI: 10.1080/02664763.2022.2122947
       
  • K-Bessel regression model for speckled data

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      Authors: A. D. C. Nascimento, P. M. Almeida-Junior, J. M. Vasconcelos, A. P. M. Borges-Junior
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-21T11:37:41Z
      DOI: 10.1080/02664763.2022.2125935
       
  • A size-of-loss model for the negatively skewed insurance claims data:
           applications, risk analysis using different methods and statistical
           forecasting

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      Authors: Heba Soltan Mohamed, Gauss M. Cordeiro, R. Minkah, Haitham M. Yousof, Mohamed Ibrahim
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-21T11:34:11Z
      DOI: 10.1080/02664763.2022.2125936
       
  • Statistical methods for assessing drug interactions using observational
           data

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      Authors: Qian Xu, Demetra Antimisiaris, Maiying Kong
      Pages: 1 - 26
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-20T11:52:16Z
      DOI: 10.1080/02664763.2022.2123460
       
  • Bootstrapping a powerful mixed portmanteau test for time series

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      Authors: Esam Mahdi, Thomas J. Fisher
      Pages: 1 - 26
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-19T09:26:28Z
      DOI: 10.1080/02664763.2022.2121384
       
  • A stochastic model for NFL games and point spread assessment

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      Authors: Muhammad Mohsin, Albrecht Gebhardt
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-16T11:51:24Z
      DOI: 10.1080/02664763.2022.2120973
       
  • A comparison of single- and double-threshold ROC plots for mixture
           distributions

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      Authors: Faryal Ibrar, Sajid Ali, Ismail Shah
      Pages: 1 - 23
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-15T06:41:36Z
      DOI: 10.1080/02664763.2022.2122027
       
  • Continuity corrected score confidence interval for the difference in
           proportions in paired data

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      Authors: Peter Chang, Rongzi Liu, Tingting Hou, Xinyu Yan, Guogen Shan
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-14T01:09:45Z
      DOI: 10.1080/02664763.2022.2118245
       
  • A Bayesian approach for de-duplication in the presence of relational data

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      Authors: Juan Sosa, Abel Rodríguez
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-08T09:33:38Z
      DOI: 10.1080/02664763.2022.2118678
       
  • A test for comparing conditional ROC curves with multidimensional
           covariates

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      Authors: A. Fanjul-Hevia, J. C. Pardo-Fernández, I. Van Keilegom, W. González-Manteiga
      Pages: 1 - 27
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-05T11:46:18Z
      DOI: 10.1080/02664763.2022.2116409
       
  • Adaptive resources allocation CUSUM for binomial count data monitoring
           with application to COVID-19 hotspot detection

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      Authors: Jiuyun Hu, Yajun Mei, Sarah Holte, Hao Yan
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-03T10:40:23Z
      DOI: 10.1080/02664763.2022.2117288
       
  • Bayesian dynamic network modelling: an application to metabolic
           associations in cardiovascular diseases

         This is an Open Access Article Open Access Article

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      Authors: Marco Molinari, Andrea Cremaschi, Maria De Iorio, Nishi Chaturvedi, Alun Hughes, Therese Tillin
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-09-02T12:39:06Z
      DOI: 10.1080/02664763.2022.2116746
       
  • A Markov random field model with cumulative logistic functions for
           spatially dependent ordinal data

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      Authors: Ryan H.L. Ip, K.Y.K. Wu
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-30T12:43:05Z
      DOI: 10.1080/02664763.2022.2115985
       
  • Estimation and prediction for Burr type III distribution based on unified
           progressive hybrid censoring scheme

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      Authors: Subhankar Dutta, Suchandan Kayal
      Pages: 1 - 33
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-27T05:30:53Z
      DOI: 10.1080/02664763.2022.2113865
       
  • Hot-spots detection in count data by Poisson assisted smooth sparse tensor
           decomposition

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      Authors: Yujie Zhao, Xiaoming Huo, Yajun Mei
      Pages: 1 - 31
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-25T12:55:37Z
      DOI: 10.1080/02664763.2022.2112557
       
  • Model averaging estimation of panel data models with many instruments and
           boosting

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      Authors: Hao Hao, Bai Huang, Tae-hwy Lee
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-25T01:16:21Z
      DOI: 10.1080/02664763.2022.2114432
       
  • Dealing with missing data under stratified sampling designs where strata
           are study domains

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      Authors: Carlos E. Rodríguez, Luis E. Nieto-Barajas, Carlos S. Pérez-Pérez
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-18T12:38:25Z
      DOI: 10.1080/02664763.2022.2112937
       
  • Functional data analysis of the relationship between electricity
           consumption and climate change drivers

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      Authors: A. Elayouty, H. Abou-Ali
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-16T12:54:12Z
      DOI: 10.1080/02664763.2022.2108773
       
  • A Bayesian spatial voting model to characterize the legislative behavior
           of the Colombian Senate 2010–2014

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      Authors: Carolina Luque, Juan Sosa
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-16T12:52:25Z
      DOI: 10.1080/02664763.2022.2111678
       
  • Variable selection in linear-circular regression models

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      Authors: Onur Camli, Zeynep Kalaylioglu, Ashis SenGupta
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-12T12:44:01Z
      DOI: 10.1080/02664763.2022.2110860
       
  • Robust and sparse learning of varying coefficient models with
           high-dimensional features

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      Authors: Wei Xiong, Maozai Tian, Manlai Tang, Han Pan
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-09T01:17:59Z
      DOI: 10.1080/02664763.2022.2109129
       
  • A novel network architecture combining central-peripheral deviation with
           image-based convolutional neural networks for diffusion tensor imaging
           studies

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      Authors: Soyun Park, Jihnhee Yu, Hwa-Hyoung Woo, Chun Gun Park
      Pages: 1 - 18
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-09T01:15:01Z
      DOI: 10.1080/02664763.2022.2108386
       
  • Three approaches to supervised learning for compositional data with
           pairwise logratios

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      Authors: Germà Coenders, Michael Greenacre
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-06T12:38:56Z
      DOI: 10.1080/02664763.2022.2108007
       
  • Type-II progressive censoring with GLM-based random removal mechanism
           dependent on the experimental conditions

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      Authors: Fatemeh Hassantabar Darzi, Samaneh Eftekhari Mahabadi, Firoozeh Haghighi
      Pages: 1 - 30
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-06T12:37:01Z
      DOI: 10.1080/02664763.2022.2104230
       
  • Estimation for volunteer web survey samples using a model-averaging
           approach

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      Authors: Zhan Liu, Junbo Zheng, Chaofeng Tu, Yingli Pan
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-05T02:37:28Z
      DOI: 10.1080/02664763.2022.2107187
       
  • Evaluation of phase I clinical trial designs for combinational agents
           along with guidance based on simulation studies

         This is an Open Access Article Open Access Article

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      Authors: Shu Wang, Elias Sayour, Ji-Hyun Lee
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-03T12:52:32Z
      DOI: 10.1080/02664763.2022.2105827
       
  • Multipopulation mortality modelling and forecasting: the weighted
           multivariate functional principal component approaches

         This is an Open Access Article Open Access Article

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      Authors: Ka Kin Lam, Bo Wang
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-08-03T12:42:37Z
      DOI: 10.1080/02664763.2022.2104228
       
  • Spatio-temporal modeling of traffic accidents incidence on urban road
           networks based on an explicit network triangulation

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      Authors: Somnath Chaudhuri, Pablo Juan, Jorge Mateu
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-29T01:43:54Z
      DOI: 10.1080/02664763.2022.2104822
       
  • Addressing overdispersion and zero-inflation for clustered count data via
           new multilevel heterogenous hurdle models

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      Authors: Yasin Altinisik
      Pages: 1 - 26
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-26T01:22:19Z
      DOI: 10.1080/02664763.2022.2096875
       
  • Testing exchangeability of multivariate distributions

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      Authors: Jan Kalina, Patrik Janáček
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-26T01:11:31Z
      DOI: 10.1080/02664763.2022.2102158
       
  • How reliable are the multiple comparison methods for odds ratio'

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      Authors: Ayfer Ezgi Yilmaz
      Pages: 1 - 23
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-26T01:08:22Z
      DOI: 10.1080/02664763.2022.2104229
       
  • An efficient estimation approach to joint modeling of longitudinal and
           survival data

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      Authors: Jody Krahn, Shakhawat Hossain, Shahedul Khan
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-25T12:21:41Z
      DOI: 10.1080/02664763.2022.2096209
       
  • Penalized likelihood methods for modeling count data

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      Authors: Minh Thu Bui, Cornelis J. Potgieter, Akihito Kamata
      Pages: 1 - 20
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-22T01:50:49Z
      DOI: 10.1080/02664763.2022.2103101
       
  • Goodness of fit tests for random multigraph models
         This is an Open Access Article Open Access Article

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      Authors: Termeh Shafie
      Pages: 1 - 26
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-21T05:18:09Z
      DOI: 10.1080/02664763.2022.2099816
       
  • Complexities of information sources

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      Authors: Yamin Sayyari, Mohammad Reza Molaei, Adel Mehrpooya
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-21T04:59:17Z
      DOI: 10.1080/02664763.2022.2101631
       
  • On parameter estimation of the standard omega distribution

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      Authors: İsmet Birbiçer, Ali İ. Genç
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-20T05:55:30Z
      DOI: 10.1080/02664763.2022.2101045
       
  • Observed heterogeneity in players' football performance analysis using
           PLS-PM

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      Authors: Mattia Cefis
      Pages: 1 - 20
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-18T12:40:17Z
      DOI: 10.1080/02664763.2022.2101044
       
  • Forward variable selection for random forest models
         This is an Open Access Article Open Access Article

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      Authors: Jasper Velthoen, Juan-Juan Cai, Geurt Jongbloed
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-18T12:36:39Z
      DOI: 10.1080/02664763.2022.2095362
       
  • A flexible test for early-stage studies with multiple endpoints

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      Authors: R. N. Montgomery, L.T. Ptomey, J. D. Mahnken
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-09T10:36:15Z
      DOI: 10.1080/02664763.2022.2097204
       
  • Minimum regularized covariance determinant and principal component
           analysis-based method for the identification of high leverage points in
           high dimensional sparse data

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      Authors: Siti Zahariah, Habshah Midi
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-07-08T11:52:50Z
      DOI: 10.1080/02664763.2022.2093842
       
  • Determination of new multiple deferred state sampling plan with economic
           perspective under Weibull distribution

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      Authors: Jeyadurga Periyasamypandian, Saminathan Balamurali
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-06-30T11:38:59Z
      DOI: 10.1080/02664763.2022.2091526
       
  • Assessing adult physical activity and compliance with 2008 CDC guidelines
           using a Bayesian two-part measurement error model

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      Authors: Daniel Ries, Alicia Carriquiry
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-06-21T11:38:45Z
      DOI: 10.1080/02664763.2022.2088706
       
  • Analysis of medians under two-way model with and without interaction for
           Birnbaum–Saunders distributed response

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      Authors: S. M. Patil, H. V. Kulkarni
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-06-09T05:20:00Z
      DOI: 10.1080/02664763.2022.2078798
       
  • Bayesian heterogeneity in a meta–analysis with two studies and
           binary data

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      Authors: M. Martel, M. A. Negrín, F. J. Vázquez–Polo
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-06-09T05:11:39Z
      DOI: 10.1080/02664763.2022.2084719
       
  • Joint modelling of longitudinal measurements and survival times via a
           multivariate copula approach

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      Authors: Zili Zhang, Christiana Charalambous, Peter Foster
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-06-02T11:31:32Z
      DOI: 10.1080/02664763.2022.2081965
       
  • Bayesian models for spatial count data with informative finite populations
           with application to the American community survey

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      Authors: Kai Qu, Jonathan R. Bradley
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-27T12:33:20Z
      DOI: 10.1080/02664763.2022.2078289
       
  • The fraud loss for selecting the model complexity in fraud detection
         This is an Open Access Article Open Access Article

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      Authors: Simon Boge Brant, Ingrid Hobæk Haff
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-25T11:25:45Z
      DOI: 10.1080/02664763.2022.2070137
       
  • A stationary Weibull process and its applications

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      Authors: Debasis Kundu
      Pages: 1 - 20
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-18T09:58:21Z
      DOI: 10.1080/02664763.2022.2073585
       
  • Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United
           States

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      Authors: Kevin D. Dayaratna, Drew Gonshorowski, Mary Kolesar
      Pages: 1 - 18
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-16T11:40:31Z
      DOI: 10.1080/02664763.2022.2069232
       
  • The relationship between moderate to vigorous physical activity and
           metabolic syndrome: a Bayesian measurement error approach

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      Authors: Daniel Ries, Alicia Carriquiry
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-12T12:44:58Z
      DOI: 10.1080/02664763.2022.2073336
       
  • The efficient design of Nested Group Testing algorithms for disease
           identification in clustered data

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      Authors: Ana F. Best, Yaakov Malinovsky, Paul S. Albert
      Pages: 1 - 18
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-10T03:33:06Z
      DOI: 10.1080/02664763.2022.2071419
       
  • Modeling dragonfly population data with a Bayesian bivariate geometric
           mixed-effects model

         This is an Open Access Article Open Access Article

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      Authors: Yulan B. van Oppen, Gabi Milder-Mulderij, Christophe Brochard, Rink Wiggers, Saskia de Vries, Wim P. Krijnen, Marco A. Grzegorczyk
      Pages: 1 - 23
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-07T05:37:26Z
      DOI: 10.1080/02664763.2022.2068513
       
  • A hierarchical Bayesian approach for modeling the evolution of the 7-day
           moving average of the number of deaths by COVID-19

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      Authors: E. F. Saraiva, L. Sauer, C. A. B. Pereira
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-06T12:56:16Z
      DOI: 10.1080/02664763.2022.2070136
       
  • Classification and severity progression measure of COVID-19 patients using
           pairs of multi-omic factors

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      Authors: Teng Chen, Paweł Polak, Stanislav Uryasev
      Pages: 1 - 31
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-05T05:52:15Z
      DOI: 10.1080/02664763.2022.2064975
       
  • Efficient estimation of a Cox model when integrating the subgroup
           incidence rate information

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      Authors: Pei-Fang Su, Junjiang Zhong, Yi-Chia Liu, Tzu-Hsuan Lin, Huang-Tz Ou
      Pages: 1 - 20
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-04T07:08:56Z
      DOI: 10.1080/02664763.2022.2068512
       
  • Bayesian negative binomial regression model with unobserved covariates for
           predicting the frequency of north atlantic tropical storms

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      Authors: Xun Li, Joyee Ghosh, Gabriele Villarini
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-02T05:17:55Z
      DOI: 10.1080/02664763.2022.2063266
       
  • Handling high-dimensional data with missing values by modern machine
           learning techniques

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      Authors: Sixia Chen, Chao Xu
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-05-02T05:11:45Z
      DOI: 10.1080/02664763.2022.2068514
       
  • Some properties of stop-loss moments under biased sampling

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      Authors: N Vipin, Indranil Ghosh, S. M. Sunoj
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-04-29T05:13:01Z
      DOI: 10.1080/02664763.2022.2065468
       
  • Bayesian Markov Chain Monte Carlo for reparameterized Stochastic
           volatility models using Asian FX rates during Covid-19

         This is an Open Access Article Open Access Article

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      Authors: Wantanee Poonvoralak
      Pages: 1 - 23
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-04-27T05:43:04Z
      DOI: 10.1080/02664763.2022.2064440
       
  • Spatio-temporal forecasting using wavelet transform-based decision trees
           with application to air quality and covid-19 forecasting

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      Authors: Xin Zhao, Stuart Barber, Charles C Taylor, Xiaokai Nie, Wenqian Shen
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-04-26T05:10:09Z
      DOI: 10.1080/02664763.2022.2064976
       
  • Beta-negative binomial nonlinear spatio-temporal random effects modeling
           of COVID-19 case counts in Japan

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      Authors: Masao Ueki
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-04-25T05:54:10Z
      DOI: 10.1080/02664763.2022.2064439
       
  • A double generally weighted moving average control chart for monitoring
           the process variability

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      Authors: Vasileios Alevizakos, Kashinath Chatterjee, Christos Koukouvinos, Angeliki Lappa
      Pages: 1 - 29
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-04-22T01:53:55Z
      DOI: 10.1080/02664763.2022.2064977
       
  • Spatiotemporal nonhomogeneous poisson model with a seasonal component
           applied to the analysis of extreme rainfall

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      Authors: Fidel Ernesto Castro Morales, Daniele Torres Rodrigues
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-04-21T09:41:22Z
      DOI: 10.1080/02664763.2022.2064978
       
  • Data-driven choice of a model selection method in joinpoint regression

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      Authors: Hyune-Ju Kim, Huann-Sheng Chen, Douglas Midthune, Bill Wheeler, Dennis W. Buckman, Donald Green, Jeffrey Byrne, Jun Luo, Eric J. Feuer
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-04-18T11:41:15Z
      DOI: 10.1080/02664763.2022.2063265
       
  • On detecting the effect of exposure mixture

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      Authors: Xinhua Liu, Zhezhen Jin
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-04-13T06:17:31Z
      DOI: 10.1080/02664763.2022.2061430
       
  • Incomplete clustering analysis via multiple imputation

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      Authors: Jung Wun Lee, Ofer Harel
      Pages: 1 - 18
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-04-13T06:10:11Z
      DOI: 10.1080/02664763.2022.2060952
       
  • Income and democracy: a bivariate copula approach

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      Authors: Suzanna-Maria Paleologou
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-04-04T12:35:58Z
      DOI: 10.1080/02664763.2022.2055749
       
  • Intrinsic spherical smoothing method based on generalized Bézier curves
           and sparsity inducing penalization

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      Authors: Kwan-Young Bak, Jae-Kyung Shin, Ja-Yong Koo
      Pages: 1 - 20
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-03-28T12:53:39Z
      DOI: 10.1080/02664763.2022.2054962
       
  • A competing risk study of menarcheal age distribution based on non-recall
           current status data

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      Authors: C. P. Yadav, Sanjeev K. Tomer, M. S. Panwar
      Pages: 1 - 23
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-03-25T12:09:56Z
      DOI: 10.1080/02664763.2022.2052821
       
  • LIC criterion for optimal subset selection in distributed interval
           estimation

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      Authors: Guangbao Guo, Yue Sun, Guoqi Qian, Qian Wang
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-03-24T11:54:28Z
      DOI: 10.1080/02664763.2022.2053949
       
  • Goodness-of-fit inference for the additive hazards regression model with
           clustered current status data

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      Authors: Yanqin Feng, Jie Wang, Yang Li
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-03-24T11:48:21Z
      DOI: 10.1080/02664763.2022.2053950
       
  • Model-assisted estimation in high-dimensional settings for survey data

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      Authors: Mehdi Dagdoug, Camelia Goga, David Haziza
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-03-17T05:30:03Z
      DOI: 10.1080/02664763.2022.2047905
       
  • A multivariate spatiotemporal model for tracking COVID-19 incidence and
           death rates in socially vulnerable populations

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      Authors: Brian Neelon, Chun-Che Wen, Sara E. Benjamin-Neelon
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-03-11T02:42:29Z
      DOI: 10.1080/02664763.2022.2046713
       
  • Spot It! and balanced block designs: keys to better debate architecture
           for a plethora of candidates in presidential primaries'

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      Authors: Richard F. Potthoff
      Pages: 1 - 20
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-03-09T03:45:15Z
      DOI: 10.1080/02664763.2022.2041568
       
  • An adjusted partial least squares regression framework to utilize
           additional exposure information in environmental mixture data analysis

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      Authors: Ruofei Du, Li Luo, Laurie G. Hudson, Sara Nozadi, Johnnye Lewis
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-03-06T06:18:50Z
      DOI: 10.1080/02664763.2022.2043254
       
  • A novel outlier statistic in multivariate survival models and its
           application to identify unusual under-five mortality sub-districts in
           Malawi

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      Authors: Tsirizani M. Kaombe, Samuel O. M. Manda
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-03-03T02:35:07Z
      DOI: 10.1080/02664763.2022.2043255
       
  • An overview of heavy-tail extensions of multivariate Gaussian distribution
           and their relations

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      Authors: Seongoh Park, Johan Lim
      Pages: 1 - 18
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-03-02T05:53:14Z
      DOI: 10.1080/02664763.2022.2044018
       
  • On summary ROC curve for dichotomous diagnostic studies: an application to
           meta-analysis of COVID-19

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      Authors: ShengLi Tzeng, Chun-Shu Chen, Yu-Fen Li, Jin-Hua Chen
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-26T07:35:33Z
      DOI: 10.1080/02664763.2022.2041565
       
  • A statistical testing procedure for validating class labels

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      Authors: Melissa C. Key, Susanne Ragg, Benzion Boukai
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-25T05:26:44Z
      DOI: 10.1080/02664763.2022.2038546
       
  • Logarithmic confidence estimation of a ratio of binomial proportions for
           dependent populations

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      Authors: Angkana Kokaew, Winai Bodhisuwan, Su-Fen Yang, Andrei Volodin
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-23T04:49:38Z
      DOI: 10.1080/02664763.2022.2041566
       
  • On diagnostic accuracy measure with cut-points criterion for ordinal
           disease classification based on concordance and discordance

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      Authors: Jing Kersey, Hani Samawi, Jingjing Yin, Haresh Rochani, Xinyan Zhang
      Pages: 1 - 18
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-21T01:39:19Z
      DOI: 10.1080/02664763.2022.2041567
       
  • Application of the skew exponential power distribution to ROC curves
         This is an Open Access Article Open Access Article

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      Authors: Kristopher Attwood, Surui Hou, Alan Hutson
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-17T12:32:56Z
      DOI: 10.1080/02664763.2022.2037528
       
  • Sensitivity analysis of error-contaminated time series data under
           autoregressive models with the application of COVID-19 data

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      Authors: Qihuang Zhang, Grace Y. Yi
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-16T01:53:24Z
      DOI: 10.1080/02664763.2022.2034760
       
  • A fusion learning method to subgroup analysis of Alzheimer's disease

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      Authors: Mingming Liu, Jing Yang, Yushi Liu, Bochao Jia, Yun-Fei Chen, Luna Sun, Shujie Ma
      Pages: 1 - 23
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-15T12:44:07Z
      DOI: 10.1080/02664763.2022.2036953
       
  • Confidence intervals for ratios of means applied to corpus-based word
           frequency classes

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      Authors: Brent Burch, Jesse Egbert
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-12T12:18:47Z
      DOI: 10.1080/02664763.2022.2034759
       
  • The re-parameterized inverse Gaussian regression to model length of stay
           of COVID-19 patients in the public health care system of Piracicaba,
           Brazil

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      Authors: E. M. Hashimoto, E. M. M. Ortega, G. M. Cordeiro, V. G. Cancho, I. Silva
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-10T05:18:37Z
      DOI: 10.1080/02664763.2022.2036707
       
  • Fast inference for robust nonlinear mixed-effects models

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      Authors: José Clelto Barros Gomes, Reiko Aoki, Victor Hugo Lachos, Gilberto Alvarenga Paula, Cibele Maria Russo
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-10T05:14:36Z
      DOI: 10.1080/02664763.2022.2034141
       
  • Inference of multicomponent stress-strength reliability following
           Topp-Leone distribution using progressively censored data

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      Authors: Shubham Saini, Sachin Tomer, Renu Garg
      Pages: 1 - 30
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-10T05:09:05Z
      DOI: 10.1080/02664763.2022.2032621
       
  • Variable targeting and reduction in large vector autoregressions with
           applications to workforce indicators

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      Authors: T. S. McElroy, Thomas Trimbur
      Pages: 1 - 23
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-07T05:02:45Z
      DOI: 10.1080/02664763.2022.2032619
       
  • Fully nonparametric survival analysis in the presence of time-dependent
           covariates and dependent censoring

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      Authors: David M. Ruth, Nicholas L. Wood, Douglas N. VanDerwerken
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-04T03:52:14Z
      DOI: 10.1080/02664763.2022.2031128
       
  • The Kendall interaction filter for variable interaction screening in high
           dimensional classification problems

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      Authors: Youssef Anzarmou, Abdallah Mkhadri, Karim Oualkacha
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-04T03:51:42Z
      DOI: 10.1080/02664763.2022.2031125
       
  • A robust latent CUSUM chart for monitoring customer attrition

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      Authors: Chunjie Wu, Zhijun Wang, Steven MacEachern, Jingjing Schneider
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-04T03:46:20Z
      DOI: 10.1080/02664763.2022.2031123
       
  • Sparse regression for low-dimensional time-dynamic varying coefficient
           models with application to air quality data

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      Authors: Jinwen Liang, Maozai Tian
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-02-03T06:23:14Z
      DOI: 10.1080/02664763.2022.2028131
       
  • Prediction models with graph kernel regularization for network data

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      Authors: Jie Liu, Haojie Chen, Yang Yang
      Pages: 1 - 18
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-31T12:42:09Z
      DOI: 10.1080/02664763.2022.2028745
       
  • Identifying the cycles in COVID-19 infection: the case of Turkey

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      Authors: Yılmaz Akdi, Yunus Emre Karamanoğlu, Kamil Demirberk Ünlü, Cem Baş
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-31T12:38:34Z
      DOI: 10.1080/02664763.2022.2028744
       
  • Local Linear Regression and the problem of dimensionality: a remedial
           strategy via a new locally adaptive bandwidths selector

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      Authors: O. Eguasa, E Edionwe, J. I. Mbegbu
      Pages: 1 - 27
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-31T12:32:59Z
      DOI: 10.1080/02664763.2022.2026895
       
  • Bayesian hierarchical models for the prediction of the driver flow and
           passenger waiting times in a stochastic carpooling service

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      Authors: Panayotis Papoutsis, Tarn Duong, Bertrand Michel, Anne Philippe
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-24T02:45:28Z
      DOI: 10.1080/02664763.2022.2026896
       
  • Compound truncated Poisson gamma distribution for understanding multimodal
           SAR intensities

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      Authors: A. D. C. Nascimento, Leandro C. Rêgo, Jonas W. A. Silva
      Pages: 1 - 20
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-24T02:45:11Z
      DOI: 10.1080/02664763.2022.2028130
       
  • Tests and classification methods in adaptive designs with applications

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      Authors: Diana Q. Chen, Si-Qi Mao, Xu-Feng Niu
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-21T04:33:32Z
      DOI: 10.1080/02664763.2022.2026898
       
  • Revisiting the analysis pipeline for overdispersed Poisson and binomial
           data

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      Authors: Woojoo Lee, Jeonghwan Kim, Donghwan Lee
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-20T12:28:09Z
      DOI: 10.1080/02664763.2022.2026897
       
  • Cubic rank transmuted generalized Gompertz distribution: properties and
           applications

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      Authors: Caner Taniş, Buğra Saraçoğlu
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-18T06:52:57Z
      DOI: 10.1080/02664763.2022.2025585
       
  • Inference for a discretized stochastic logistic differential equation and
           its application to biological growth

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      Authors: F. Delgado-Vences, F. Baltazar-Larios, A. Ornelas Vargas, E. Morales-Bojórquez, V. H. Cruz-Escalona, C. Salomón Aguilar
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-18T06:47:20Z
      DOI: 10.1080/02664763.2021.2024154
       
  • Model-based joint curve registration and classification

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      Authors: Lin Tang, Pengcheng Zeng, Jian Qing Shi, Won-Seok Kim
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-14T11:07:45Z
      DOI: 10.1080/02664763.2021.2023118
       
  • Heteroscedastic partially linear model under skew-normal distribution with
           application in ragweed pollen concentration

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      Authors: Clécio S. Ferreira, Camila Borelli Zeller, Rafael R. de Oliveira Garcia
      Pages: 1 - 28
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-13T02:27:18Z
      DOI: 10.1080/02664763.2021.2024798
       
  • Hot spot identification method based on Andrews curves: an application on
           the COVID-19 crisis effects on caregiver distress in neurocognitive
           disorder

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      Authors: E. Skamnia, P. Economou, S. Bersimis, M. Frouda, A. Politis, P. Alexopoulos
      Pages: 1 - 20
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-12T06:30:12Z
      DOI: 10.1080/02664763.2021.2022607
       
  • Log-mean distribution: applications to medical data, survival regression,
           Bayesian and non-Bayesian discussion with MCMC algorithm

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      Authors: O. Kharazmi, G. G. Hamedani, G. M. Cordeiro
      Pages: 1 - 26
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-08T05:55:39Z
      DOI: 10.1080/02664763.2021.2023117
       
  • The integrated nested Laplace approximation applied to spatial
           log-Gaussian Cox process models

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      Authors: Kenneth Flagg, Andrew Hoegh
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-08T05:43:09Z
      DOI: 10.1080/02664763.2021.2023116
       
  • Personalized treatment selection using observational data

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      Authors: K. B. Kulasekera, Sudaraka Tholkage, Maiying Kong
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-06T04:29:57Z
      DOI: 10.1080/02664763.2021.2019689
       
  • A random effect regression based on the odd log-logistic generalized
           inverse Gaussian distribution

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      Authors: J. C. S. Vasconcelos, G. M. Cordeiro, E. M. M. Ortega, G. O. Silva
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-06T02:43:19Z
      DOI: 10.1080/02664763.2021.2024515
       
  • Exact inference for disease prevalence based on a test with unknown
           specificity and sensitivity

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      Authors: Bryan Cai, John P. A. Ioannidis, Eran Bendavid, Lu Tian
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-04T01:21:16Z
      DOI: 10.1080/02664763.2021.2019687
       
  • Robust clustering of COVID-19 cases across U.S. counties using mixtures of
           asymmetric time series models with time varying and freely indexed
           covariates

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      Authors: Mohsen Maleki, Hamid Bidram, Darren Wraith
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Applied Statistics
      PubDate: 2022-01-01T12:02:42Z
      DOI: 10.1080/02664763.2021.2019688
       
 
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