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)                     

Showing 1 - 98 of 98 Journals sorted alphabetically
Advances in Statistics     Open Access   (Followers: 10)
Afrika Statistika     Open Access   (Followers: 1)
American Journal of Applied Mathematics and Statistics     Open Access   (Followers: 12)
American Journal of Mathematics and Statistics     Open Access   (Followers: 9)
Annals of Data Science     Hybrid Journal   (Followers: 18)
Annual Review of Statistics and Its Application     Full-text available via subscription   (Followers: 9)
Applied Medical Informatics     Open Access   (Followers: 12)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 7)
Asian Journal of Probability and Statistics     Open Access  
Austrian Journal of Statistics     Open Access   (Followers: 4)
Biostatistics & Epidemiology     Hybrid Journal   (Followers: 5)
Cadernos do IME : Série Estatística     Open Access  
Calcutta Statistical Association Bulletin     Hybrid Journal  
Communications in Mathematics and Statistics     Hybrid Journal   (Followers: 3)
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: 2)
Forecasting     Open Access   (Followers: 1)
Foundations and Trends® in Optimization     Full-text available via subscription   (Followers: 2)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Game Theory     Open Access   (Followers: 3)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 13)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 14)
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: 4)
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: 4)
International Journal of Game Theory     Hybrid Journal   (Followers: 4)
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: 3)
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: 5)
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: 2)
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: 6)
Journal of the Indian Society for Probability and Statistics     Full-text available via subscription  
Jurnal Biometrika dan Kependudukan     Open Access   (Followers: 1)
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: 2)
Nepalese Journal of Statistics     Open Access   (Followers: 1)
North American Actuarial Journal     Hybrid Journal   (Followers: 2)
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: 3)
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
Revista Brasileira de Biometria
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 0102-0811 - ISSN (Online) 1983-0823
Published by Universidade Federal de Lavras Homepage  [2 journals]

    • Authors: Maurício Silva LACERDA, Jhennifer dos Santos NASCIMENTO, Eduardo Campana BARBOSA, Rômulo César MANULI, Moysés NASCIMENTO, Ana Carolina Campana NASCIMENTO, Paulo Cesar EMILIANO
      Abstract: The present study aimed to evaluate, through data simulation, the multivariate statistical tests Likelihood ratio test (LRT) and Hotelling’s T2 test for mean vectors regarding the type I error rate and the power of test. The scenarios were designed to analyze test performance under the influence of p−variate normality, correlation, and homogeneity of variance, as well as number of variables and sample size. Our results show that the type I error rate was not affected by the violation of the assumptions of independence and homogeneity of variances, due to the presence of p−variate normality, differently from the power of test. In data simulation of p−variate distribution with heavier tails than usual (Student−t with 1 degree of freedom), the Hotelling’s T2 showed to be conservative, while the LRT showed better results, especially for small sample sizes.
      PubDate: 2022-09-23
      DOI: 10.28951/bjb.v40i3.560
      Issue No: Vol. 40, No. 3 (2022)

    • Authors: Juliana Vieira GOMES, Camila Rafaela Gomes DIAS, José Ivo RIBEIRO JUNIOR
      Abstract: For exploratory analysis of the principal components (CPs), the assumption of multivariate normality of the variables is not required, nor necessarily that they are random. This means that variables that do not behave randomly can also be included in this analysis. Thus, in order to carry out the analysis of the PCs with random variables or not, a correction of the matrix based on the coefficients of variation was proposed (Campana et al., 2010) by applying the method of Lenth (1989), whose new array was named . To verify its feasibility, ten data sets of random variables Y1, Y2, Y3 and Y4 were simulated, with 10,000 values each and that followed multivariate normal distribution. After the simulation, 0%, 1%, 2%, 3% and 4% of the random values of Y4 were replaced by the same and respective percentages of outliers, in order to break its randomness. Subsequently, response surface analyzes were performed for eight different absolute mean percentage errors obtained in relation to eight parameters related to the performance of the CP analysis, as a function of the replacement percentages by Y4 outliers (0, 1, 2, 3 and 4 ) and the matrices used in the analysis of the PCs. According to the results, it was concluded that, in the presence of only normal random variables, it is the best matrix. On the other hand, when there are outliers, it is the most recommended.
      PubDate: 2022-09-23
      DOI: 10.28951/bjb.v40i3.551
      Issue No: Vol. 40, No. 3 (2022)

    • Authors: Maria Letícia SALVADOR, Eduardo Elías RIBEIRO JUNIOR, César Augusto TACONELI, Idemaro Antonio Rodrigues LARA
      Abstract: In agronomic experiments, the presence of polytomous variables is common, and the generalized logit model can be used to analyze these data. One of the characteristics of the generalized logit model is the assumption that the variance is a known function of the mean, and the observed variance is expected to be close to that assumed by the model. However, it is not uncommon for extra-multinomial variation to occur, due to the systematic observation of data that are more heterogeneous than the variance specified by the model, a phenomenon known as overdispersion. In this context, the present work discusses a diagnostic of overdispersion in multinomial data, with the proposal of a descriptive measure for this problem, as well as presenting a methodological alternative through the Dirichlet- multinomial model. The descriptive
      measure is evaluated through simulation, based on two particular scenarios. As a motivational study, we report an experiment applied to fruit growing, whose objective was to compare the flowering of adult plants of an orange tree, grafted on “Rangpur”
      lime or “Swingle” citrumelo, with as response variable the classification of branches into three categories: lateral flower, no flower or aborted flower, terminal flower. Through the proposed descriptive measure, evidence of overdispersion was verified, indicating that the generalized logit model may not be the most appropriate. Thus, as a methodological alternative, the Dirichlet-multinomial model was used. Compared to the generalized logit model, the Dirichlet-multinomial proved to be more suitable to fit the data with overdispersion, by allowing the inclusion of an additional parameter to accommodate the excessive extra-multinomial dispersion.
      PubDate: 2022-09-23
      DOI: 10.28951/bjb.v40i3.584
      Issue No: Vol. 40, No. 3 (2022)

    • Authors: André Bisca FERREIRA, Josmar MAZUCHELI
      Abstract: In this paper, we propose the zero, one and zero-and-one-inflated New unit-Lindley distributions as natural extensions of the New unit-Lindley distribution to model continuous responses measured at the following intervals [0, 1), (0, 1] and [0, 1]. They were constructed based on convex combinations between the New unit-Lindley distribution and the distributions degenerate at zero, one, and Bernoulli distribution. They also have a number of interesting properties, such as being members of the exponential family. Besides, they have closed forms for the cumulative distribution functions, quantiles, and moments. Inferential aspects and regression structures are
      discussed in this work as well as a Monte Carlo simulation study to evaluate the
      performance of the regressors. Finally, we bring an application to real data on the suicide rate in the year 2016.
      PubDate: 2022-09-23
      DOI: 10.28951/bjb.v40i3.571
      Issue No: Vol. 40, No. 3 (2022)

    • Authors: Luiz Otávio de Oliveira PALA, Marcela de Marillac CARVALHO, Thelma SÁFADI
      Abstract: Risk and exposure factors are important features to be considered, providing financial and actuarial information for the insurer. Pricing methods are
      supported by the mutualism theory, ensuring a level of indemnity and expected cost, making possible to constitute monetary reserves. The aim of our paper is to model and analyze the distribution of vehicle insurance claims in the south of Minas Gerais/Brazil. The data represents policies with a claim occurrence in the year of 2018. Under the
      Bayesian approach, we consider the Gamma and Log-normal distributions that allow asymmetric data modeling and they can be used in loss models. The Jeffreys’s prior class was applied considering the data of the first semester of 2018. The information level was updated to construct an informative prior to analyze the data of the second
      semester. To compare models, we estimated the Bayes Factor and the logarithm of the marginal likelihood, that showed the Log-normal more likely. After selecting a model, we estimate metrics as the Conditional Tail Expectation (CTE) and the percentiles of the adjusted distribution to evaluate extreme costs. The results showed the applicability
      of Bayesian inference to fit insurance data, allowing to insert prior knowledge as the portfolio experience and to use a wide class of probability distributions.
      PubDate: 2022-09-23
      DOI: 10.28951/bjb.v40i3.555
      Issue No: Vol. 40, No. 3 (2022)

    • Authors: Jéssica SPURI, Lucas Monteiro CHAVES
      Abstract: One proof of the friendship theorem, a classical result in combinatorics, is presented. Graphs are intensively used to explain all the steps of the demonstration and thus make it more intuitive. An application in experimental designs is presented.
      PubDate: 2022-09-23
      DOI: 10.28951/bjb.v40i3.586
      Issue No: Vol. 40, No. 3 (2022)

    • Authors: Marcos Vinicius BUENO, Robson Marcelo ROSSI
      Abstract: The goal of this study was to use frequentist and Bayesian methodologies
      to adjust some probability distributions for survival time in HIV/AIDS patients in Mato Grosso do Sul, Brazil, followeds from 2009 to 2018. The influence of explanatory variables on the response variable can be calculated using regression models. The Log-Normal distribution was shown to be the most parsimonious for the data using the Akaike information criterion (AIC) values and the maximum likelihood logarithm.
      Two regression models were built based on the described methodologies, converging to the same interpretation of the explanatory variables: sex, race, education, and injecting drug use. The median time to death from HIV/AIDS is approximately: 2.1 higher for females, 1.8 higher for white people, 5.4 higher for individuals with more than 8 years of education, 5.5 higher for individuals who do not use injecting drugs, according to the study. Based on the interpretations of the coefficients of the model parameters, the need for prevention and early diagnosis policies focused on groups that have a shorter median survival time after notification of HIV infection can be discussed.
      PubDate: 2022-09-23
      DOI: 10.28951/bjb.v40i3.574
      Issue No: Vol. 40, No. 3 (2022)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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