Subjects -> MATHEMATICS (Total: 1013 journals)
    - APPLIED MATHEMATICS (92 journals)
    - GEOMETRY AND TOPOLOGY (23 journals)
    - MATHEMATICS (714 journals)
    - MATHEMATICS (GENERAL) (45 journals)
    - NUMERICAL ANALYSIS (26 journals)
    - PROBABILITIES AND MATH STATISTICS (113 journals)

PROBABILITIES AND MATH STATISTICS (113 journals)                     

Showing 1 - 98 of 98 Journals sorted alphabetically
Advances in Statistics     Open Access   (Followers: 9)
Afrika Statistika     Open Access   (Followers: 1)
American Journal of Applied Mathematics and Statistics     Open Access   (Followers: 11)
American Journal of Mathematics and Statistics     Open Access   (Followers: 9)
Annals of Data Science     Hybrid Journal   (Followers: 14)
Annual Review of Statistics and Its Application     Full-text available via subscription   (Followers: 7)
Applied Medical Informatics     Open Access   (Followers: 11)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
Asian Journal of Probability and Statistics     Open Access  
Austrian Journal of Statistics     Open Access   (Followers: 4)
Biostatistics & Epidemiology     Hybrid Journal   (Followers: 4)
Cadernos do IME : Série Estatística     Open Access  
Calcutta Statistical Association Bulletin     Hybrid Journal  
Communications in Mathematics and Statistics     Hybrid Journal   (Followers: 4)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics: Case Studies, Data Analysis and Applications     Hybrid Journal  
Comunicaciones en Estadística     Open Access  
Econometrics and Statistics     Hybrid Journal   (Followers: 1)
Forecasting     Open Access   (Followers: 1)
Foundations and Trends® in Optimization     Full-text available via subscription   (Followers: 3)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Game Theory     Open Access   (Followers: 2)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 14)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 13)
Indonesian Journal of Applied Statistics     Open Access  
International Game Theory Review     Hybrid Journal   (Followers: 1)
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences     Open Access  
International Journal of Advanced Statistics and Probability     Open Access   (Followers: 7)
International Journal of Algebra and Statistics     Open Access   (Followers: 3)
International Journal of Applied Mathematics and Statistics     Full-text available via subscription   (Followers: 3)
International Journal of Ecological Economics and Statistics     Full-text available via subscription   (Followers: 4)
International Journal of Energy and Statistics     Hybrid Journal   (Followers: 3)
International Journal of Game Theory     Hybrid Journal   (Followers: 3)
International Journal of Mathematics and Statistics     Full-text available via subscription   (Followers: 2)
International Journal of Multivariate Data Analysis     Hybrid Journal  
International Journal of Probability and Statistics     Open Access   (Followers: 4)
International Journal of Statistics & Economics     Full-text available via subscription   (Followers: 6)
International Journal of Statistics and Applications     Open Access   (Followers: 2)
International Journal of Statistics and Probability     Open Access   (Followers: 3)
International Journal of Statistics in Medical Research     Hybrid Journal   (Followers: 5)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Iraqi Journal of Statistical Sciences     Open Access  
Japanese Journal of Statistics and Data Science     Hybrid Journal  
Journal of Biometrics & Biostatistics     Open Access   (Followers: 4)
Journal of Cost Analysis and Parametrics     Hybrid Journal   (Followers: 5)
Journal of Environmental Statistics     Open Access   (Followers: 4)
Journal of Game Theory     Open Access   (Followers: 1)
Journal of Mathematical Economics and Finance     Full-text available via subscription  
Journal of Mathematics and Statistics Studies     Open Access  
Journal of Modern Applied Statistical Methods     Open Access   (Followers: 1)
Journal of Official Statistics     Open Access   (Followers: 2)
Journal of Quantitative Economics     Hybrid Journal  
Journal of Social and Economic Statistics     Open Access  
Journal of Statistical Theory and Practice     Hybrid Journal   (Followers: 2)
Journal of Statistics and Data Science Education     Open Access   (Followers: 2)
Journal of Survey Statistics and Methodology     Hybrid Journal   (Followers: 4)
Journal of the Indian Society for Probability and Statistics     Full-text available via subscription  
Jurnal Biometrika dan Kependudukan     Open Access  
Jurnal Ekonomi Kuantitatif Terapan     Open Access  
Jurnal Sains Matematika dan Statistika     Open Access  
Lietuvos Statistikos Darbai     Open Access  
Mathematics and Statistics     Open Access   (Followers: 2)
Methods, Data, Analyses     Open Access   (Followers: 1)
METRON     Hybrid Journal   (Followers: 1)
Nepalese Journal of Statistics     Open Access  
North American Actuarial Journal     Hybrid Journal   (Followers: 1)
Open Journal of Statistics     Open Access   (Followers: 3)
Open Mathematics, Statistics and Probability Journal     Open Access  
Pakistan Journal of Statistics and Operation Research     Open Access   (Followers: 1)
Physica A: Statistical Mechanics and its Applications     Hybrid Journal   (Followers: 6)
Probability, Uncertainty and Quantitative Risk     Open Access   (Followers: 2)
Ratio Mathematica     Open Access  
Research & Reviews : Journal of Statistics     Open Access   (Followers: 3)
Revista Brasileira de Biometria     Open Access  
Revista Colombiana de Estadística     Open Access  
RMS : Research in Mathematics & Statistics     Open Access  
Romanian Statistical Review     Open Access  
Sankhya B - Applied and Interdisciplinary Statistics     Hybrid Journal  
SIAM Journal on Mathematics of Data Science     Hybrid Journal   (Followers: 1)
SIAM/ASA Journal on Uncertainty Quantification     Hybrid Journal   (Followers: 2)
Spatial Statistics     Hybrid Journal   (Followers: 2)
Sri Lankan Journal of Applied Statistics     Open Access  
Stat     Hybrid Journal   (Followers: 1)
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica     Open Access   (Followers: 6)
Statistical Analysis and Data Mining     Hybrid Journal   (Followers: 23)
Statistical Theory and Related Fields     Hybrid Journal  
Statistics and Public Policy     Open Access   (Followers: 4)
Statistics in Transition New Series : An International Journal of the Polish Statistical Association     Open Access  
Statistics Research Letters     Open Access   (Followers: 1)
Statistics, Optimization & Information Computing     Open Access   (Followers: 3)
Stats     Open Access  
Synthesis Lectures on Mathematics and Statistics     Full-text available via subscription   (Followers: 1)
Theory of Probability and its Applications     Hybrid Journal   (Followers: 2)
Theory of Probability and Mathematical Statistics     Full-text available via subscription   (Followers: 2)
Turkish Journal of Forecasting     Open Access   (Followers: 1)
VARIANSI : Journal of Statistics and Its application on Teaching and Research     Open Access  
Zeitschrift für die gesamte Versicherungswissenschaft     Hybrid Journal  

           

Similar Journals
Journal Cover
METRON
Journal Prestige (SJR): 0.311
Citation Impact (citeScore): 1
Number of Followers: 1  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0026-1424 - ISSN (Online) 2281-695X
Published by Springer-Verlag Homepage  [2469 journals]
  • Statistical evaluation systems at 360°: techniques, technologies and
           new frontiers

    • Free pre-print version: Loading...

      PubDate: 2022-04-21
       
  • Correction to: A multi-group higher-order factor analysis for studying the
           gender-effect in Teacher Job Satisfaction

    • Free pre-print version: Loading...

      Abstract: A correction to this paper has been published: https://doi.org/10.1007/s40300-021-00209-6
      PubDate: 2022-04-01
       
  • The generalized Taguchi’s statistic: a passenger satisfaction
           evaluation

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      Abstract: Abstract Judgments are usually expressed in ordinal scale and the main aim of this analysis is to identify characteristics that affect the satisfaction. Taguchi’s and Hirotsu’s statistics are simple alternatives to Pearson’s Chi-squared test for contingency tables with ordered categorical variables. A different approach is developed in this paper. In particular, a new measure of the association between a nominal explanatory variable and an ordered categorical response variable is introduced. The new measure is called Generalized Cumulative Chi-Squared Statistic (GCCS) and a class of GCCS-type statistics is also introduced. Moreover, a generalized singular value decomposition of GCCS is provided and an empirical study is developed. A study on the evaluation of the passengers’ satisfaction is performed on a strategy based on the conjoint use of the Generalized Taguchi’s statistic and the Logistic Model. An optimal combination of factors and levels has been obtained to improve service quality.
      PubDate: 2022-04-01
       
  • Evaluation of a program for promoting physical activity and well-being:
           Friuli Venezia Giulia in Movimento

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      Abstract: Abstract This article presents an evaluation of the “Friuli Venezia Giulia in Movimento” project, aimed at promoting the culture of movement and well-being in a region which is particularly affected by population ageing. The goals of the project reside in promoting appropriate lifestyles through the endorsement of healthy behaviours (physical activity, healthy nutrition, well-being); increasing the number of physically active people in the various municipal territories, by enhancing or creating new pedestrian paths that reflect the 10,000-step goal; enhancing the local territory by promoting the existing paths and the initiatives already in place; promoting new paths and environments conducive to physical activity for people of all ages; encouraging the creation of new “walking groups” and the adhesion of people to them to promote physical activity and socialisation, with the consequent improvement of psychophysical well-being. Although the evaluation is still on-going, the preliminary results—obtained by means of two surveys and a multilevel model—show that the initial steps of the project have been carried out satisfactorily and that Municipalities still need to be supported in order to achieve good participation on part of the citizens.
      PubDate: 2022-04-01
       
  • Building panels from archives: the longitudinal representativity

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      Abstract: Abstract In this paper, starting from ASIA business register and from the related Events Register, the longitudinally persistency of core units of the abovementioned database is examined. The M&A events are considered. To evaluate the representativity of the longitudinal panel obtained using the proposed approach, the dataset is integrated with the financial reports database with reference to some relevant economic variables. Italian financial reports database includes annual reports transmitted (according to the law) to the local Chamber of Commerce (CC) by all limited firms. The annual reports are collected and checked by CC. The database includes around 700,000 firm financial reports every year. It represents a very rich and complete source of information, therefore in this study it is used as reference target population. The complete set of data is compared both to panel based on the M&A (Mergers and Acquisitions) events and to results related to a panel build up without reference to the M&A events. Comparative analyses are carried out for the representativeness of most important economic variables. Representativeness with respect to main economic variables is analyzed. Statistical analyses, broken down by specific categories, based mainly on R-indicators are performed.
      PubDate: 2022-04-01
       
  • Using multilevel models to evaluate the attitude of separate waste
           collection in young people

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      Abstract: Abstract Separate waste collection represents one of the necessary conditions to guarantee an efficient protection of the environment. In particular, raising awareness of young people towards eco-sustainable behaviors, such as waste sorting and waste recycling, is an essential target that institutions should pursue in order to contribute to the reduction of the environmental impact of waste. Thus, an appropriate assessment of the determinants which influence environmentally responsible practices is of wide interest, not only for its implications in environmental science, but also in other scientific fields, such as Sociology, Chemistry and Engineering. This paper is focused on an innovative analysis based on the use of multilevel models suitable to evaluate the young people’s attitudes towards waste sorting in three different daily life contexts, i.e. school, family and spare time. A data set regarding a survey on a sample of students attending upper secondary schools, in the Province of Brindisi (Apulia Region), is used.
      PubDate: 2022-04-01
       
  • Modelling consumer perceptions of service quality for urban public
           transport systems using statistical models for ordinal data

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      Abstract: Abstract The paper deals with ordinal response models to evaluate urban public transport systems with the purpose of interpreting consumers’ responses with reference to their profiles. New methodological developments provide opportunities for a more thorough and accurate analysis of perceived service quality. The evaluation of the uncertainty component accounts for accuracy in the assessments. Diagnostic procedures allow to evaluate model specification, with respect to the proportional odds assumption, the adequacy of the mean structure and the occurrence of heterogeneity. The impact of the covariates on the discrete distribution of the observed response is appraised through their marginal effects. The selection of the appropriate covariates leads to the identification of clusters of users, which are compared through ordinal superiority measures. Consequently critical situations are detected.
      PubDate: 2022-04-01
       
  • A multi-group higher-order factor analysis for studying the gender-effect
           in Teacher Job Satisfaction

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      Abstract: Abstract Teachers’ performances also depend on whether and how they are satisfied with their job. Therefore, Teacher Job Satisfaction must be considered as the driver of teachers’ accomplishments. To plan future policies and improve the overall teaching process, it is crucial to understand which factors mostly contribute to Teacher Job Satisfaction. A Common Assessment Framework and Education questionnaire was administered to 163 Italian public secondary school teachers to collect data, and a second-order factor analysis was used to detect which factors impact on Teacher Job Satisfaction, and to what extent. This model-based approach guarantees to detect factors which respect important properties: unidimensionality and reliability. All the coefficients are estimated according to the maximum likelihood estimation method in order to make inference on the parameters and on the validity of the model. Moreover, a new multi-group test for higher-order factor analysis was proposed and implemented. Finally, we analyzed in detail whether the factors impacting Teacher Job Satisfaction are characterized by gender.
      PubDate: 2022-04-01
       
  • Analysis of ordinal and continuous longitudinal responses using pair
           copula construction

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      Abstract: Abstract In this paper, we present a model based on pair copula construction for bivariate longitudinal mixed ordinal and continuous responses. The temporal association of each response is separately modeled using pair copula construction with a D-vine structure and the contemporaneous association of bivariate responses is then joined by a bivariate copula. We employ a sequential approach for inference and its performance is investigated by a simulation study. Moreover, the proposed model is applied to Peabody Individual Achievement Test (PIAT) dataset which examines the relationship between reading capability and antisocial behavior of children. The result is that, children with low levels of antisocial behavior have better reading ability than that of children with high levels of antisocial behavior.
      PubDate: 2022-03-23
       
  • Giovanni Maria Giorgi (1947–2021) OBITUARY

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      PubDate: 2022-03-17
       
  • Handling multicollinearity in quantile regression through the use of
           principal component regression

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      Abstract: Abstract In many fields of applications, linear regression is the most widely used statistical method to analyze the effect of a set of explanatory variables on a response variable of interest. Classical least squares regression focuses on the conditional mean of the response, while quantile regression extends the view to conditional quantiles. Quantile regression is very convenient, whereas classical parametric assumptions do not hold and/or when relevant information lies in the tails and therefore the interest is in modeling the conditional distribution of the response at locations different from the mean. A situation common to most regression applications is the presence of strong correlations between predictors. This leads to the well-known problem of collinearity. While the effects of collinearity on least squares estimates are well investigated, this is not the case for quantile regression estimates. This paper aims to explore the collinearity problem in quantile regression. First, a simulation study analyses the problem concerning different degrees of collinearity and various response distributions. Then the paper proposes using regression on latent components as a possible solution to collinearity in quantile regression. Finally, a case study shows the assessment of the quality of service in the presence of highly correlated predictors.
      PubDate: 2022-02-16
      DOI: 10.1007/s40300-022-00230-3
       
  • Ordinal response variation of the polytomous Rasch model

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      Abstract: Abstract Polytomous Rasch model (PRM) is a general probabilistic measurement model widely used in psychometrics, social science and educational measurement. It describes the probability of certain ordinal response of an object under test as a function of its ability, given, so called thresholds, characterizing the specific test item. The model was also adapted to business and industry applications. In contrast to the behavior of the median PRM outcome value, monotonically increasing as the ability increases, the ordinal variation behavior, as shown in the article, can be very diverse and it is rather determined by the mutual position of the threshold values of the model. The article studies ordinal variation of the response vs. ability for different thresholds locations arrangements and different amounts of ordered response categories. It is shown under what circumstances this function becomes multimodal. If several objects are involved in the test, attention is paid to the possibility of the total variation decomposition into intra and inter components. Considering the intra object variation helps to avoid overestimation of the real variation between the tested objects as it is demonstrated by illustrative example.
      PubDate: 2022-02-03
      DOI: 10.1007/s40300-022-00229-w
       
  • On continuity correction for RSS-structured cluster randomized designs
           with binary outcomes

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      Abstract: Abstract Correction for continuity is commonly used to improve the inference for binary data when the event of interest is rare or the sample size is small. A standard approach to reduce the bias in logit estimation is to add a small constant to both event and nonevent counts. The 0.5 adjustment is known as a correction rendering the estimation unbiased up to the order of \(K^{-1}\) , where K is the size of a simple random sample. However, for general designs beyond simple random sampling, the bias in estimating the logit is no longer zero in order \(K^{-1}\) . In this paper, we derive the formula of the correction factor that makes the first-order term of the bias vanish for general designs. We then apply it to estimate the logit when data are from ranked set sampling (RSS) embedded in a cluster randomized design (CRD). An RSS-structured CRD (RSS-CRD), introduced by Wang et al. (J Am Stat Assoc 111: 1576–1590, 2016), is a new two-stage design for more efficient estimation of treatment effect. We propose two methods to estimate the correction factors derived for RSS-CRDs. We numerically compare the proposed methods to those with the default factor 0.5 in terms of bias and mean squared error for estimating the treatment effect, and finally make recommendations to practitioners.
      PubDate: 2022-01-28
      DOI: 10.1007/s40300-021-00226-5
       
  • An EM algorithm for estimating the parameters of the multivariate
           skew-normal distribution with censored responses

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      Abstract: Abstract Limited or censored data are collected in many studies. This occurs for many reasons in several practical situations, such as limitations in measuring equipment or from an experimental design. Consequently, the true value is recorded only if it falls within an interval range so that the responses can be either left, interval, or right-censored. Missing values can be seen just as a particular case. Linear and nonlinear regression models are routinely used to analyze these types of data. Most of these models are based on the normality assumption for the error term. However, such analyses might not provide robust inference when the normality assumption (or symmetry) is questionable. The need for asymmetric distributions for the random errors motivates us to develop a likelihood-based inference for linear models with censored responses based on the multivariate skew-normal distribution, where the missing/censoring mechanism is assumed to be “missing at random” (MAR). The proposed EM-type algorithm for maximum likelihood estimation uses closed-form expressions at the E-step based on formulas for the mean and variance of a truncated multivariate skew-normal distribution, available in the R package MomTrunc. Three datasets with censored and/or missing observations are analyzed and discussed.
      PubDate: 2022-01-28
      DOI: 10.1007/s40300-021-00227-4
       
  • Non-parametric test of recurrent cumulative incidence functions for
           competing risks models

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      Abstract: Abstract Recurrent competing risks data are common in survival studies. In such contexts the effects of competing risks on lifetime outcomes are important problem of study. In this work we introduce recurrent cumulative incidence function and then propose a non-parametric test for comparing recurrent cumulative incidence functions. Asymptotic distribution of the test statistic is derived. A simulation study is carried out to assess the performance of the proposed test statistic. The proposed method is applied to an auto-mobile warranty data.
      PubDate: 2022-01-20
      DOI: 10.1007/s40300-022-00228-x
       
  • A Bayesian piecewise linear model for the detection of breakpoints in
           housing prices

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      Abstract: Abstract Statistical thresholds occur when the changes in the relationships between a response and predictor variables are not linear but abrupt at some points of the predictor variable values. In this paper, we defined a piecewise-linear regression model which can detect two thresholds in the relationships via changes in slopes. We developed the corresponding Bayesian methodology for model estimation and inference by proposing prior distributions, deriving posterior distributions, and generating posterior values using Metropolis and Gibbs sampling algorithm. The parameters in our model are easy to understand, highly interpretable, and flexible to make inferences. The methodology has been applied to estimate threshold effects in housing market pricing data in two cities - Kamloops and Chilliwack - in British Columbia, Canada. Our findings revealed that the implementation of changes in the government property tax policies had threshold effects in the market price trend. The proposed model will be useful to detect threshold effects in other correlated time series data as well.
      PubDate: 2021-12-01
      DOI: 10.1007/s40300-021-00223-8
       
  • The association in two-way ordinal contingency tables through global odds
           ratios

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      Abstract: Abstract Hirotsu’s statistic is a suitable measure for studying the association between two variables on an ordinal scale. For visualizing the nature of the association, such a statistic can be decomposed by performing doubly ordered cumulative correspondence analysis. An alternative measure for describing the association between two ordered variables could be global odds ratios. In this paper we consider a generalization of the doubly ordered cumulative correspondence analysis in order to represent the global odds ratios in the two-dimensional plot.
      PubDate: 2021-11-23
      DOI: 10.1007/s40300-021-00224-7
       
  • Considerations on Nitis Mukhopadhyay and Partha Pratim Sengupta’s book
           “Gini inequality index: methods and applications”

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      PubDate: 2021-09-27
      DOI: 10.1007/s40300-021-00222-9
       
  • Correction to: Commentary on “From unidimensional to multidimensional
           inequality: a review”

    • Free pre-print version: Loading...

      PubDate: 2021-08-04
      DOI: 10.1007/s40300-021-00219-4
       
  • Letter to the editor: Correction to “Lindley—exponential distribution:
           properties and applications”

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      Abstract: Abstract Bhati et al. (Metron 73:335–357, 2015) introduced and studied a new class of distributions. However, some of the data were not entered correctly and, therefore, the results may diverge somewhat from what the authors find in the original paper should the data be corrected. In other words, the results we obtain differ from the original ones.
      PubDate: 2021-07-16
      DOI: 10.1007/s40300-021-00212-x
       
 
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