{"title":"On Some Mixing Properties of Copula-Based Markov Chains","authors":"M. Longla, Hamadou Mous-Abou, I. S. Ngongo","doi":"10.1007/s44199-022-00045-1","DOIUrl":"https://doi.org/10.1007/s44199-022-00045-1","url":null,"abstract":"","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81175403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tahereh Poursadeghfard, A. Nematollahi, A. Jamalizadeh
{"title":"The Extended Birnbaum–Saunders Distribution Based on the Scale Shape Mixture of Skew Normal Distributions","authors":"Tahereh Poursadeghfard, A. Nematollahi, A. Jamalizadeh","doi":"10.1007/s44199-021-00037-7","DOIUrl":"https://doi.org/10.1007/s44199-021-00037-7","url":null,"abstract":"","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78497957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Test for Multiple Binary Endpoints with Continuous Latent Distribution in Clinical Trials","authors":"Takuma Ishihara, K. Yamamoto","doi":"10.1007/s44199-021-00003-3","DOIUrl":"https://doi.org/10.1007/s44199-021-00003-3","url":null,"abstract":"","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80584526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using Model Selection Criteria to Choose the Number of Principal Components","authors":"S. Sclove","doi":"10.1007/s44199-021-00002-4","DOIUrl":"https://doi.org/10.1007/s44199-021-00002-4","url":null,"abstract":"","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84762932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haruka Murayama, Shota Saito, Yuji Iikubo, Yuta Nakahara, T. Matsushima
{"title":"Cluster’s Number Free Bayes Prediction of General Framework on Mixture of Regression Models","authors":"Haruka Murayama, Shota Saito, Yuji Iikubo, Yuta Nakahara, T. Matsushima","doi":"10.1007/s44199-021-00001-5","DOIUrl":"https://doi.org/10.1007/s44199-021-00001-5","url":null,"abstract":"","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81515361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preference of Prior for Two-Component Mixture of Lomax Distribution","authors":"F. Younis, M. Aslam, M. Bhatti","doi":"10.2991/jsta.d.210616.002","DOIUrl":"https://doi.org/10.2991/jsta.d.210616.002","url":null,"abstract":"Recently,\u0000El-Sherpieny et al (2020) suggested Type -II hybrid censoring method for\u0000parametric estimation of Lomax distribution (LD) without due regards being\u0000given to the choice of priors and posterior risk associated with the model.\u0000This paper fills this gap and derived the new LDmodel with minimum posterior\u0000risk for the selection of priors. It derives a closed form expression for Bayes\u0000estimates and posterior risks using Square error loss function (SELF), Weighted\u0000loss function (WLF), Quadratic loss function (QLF) and Degroot loss function (DLF).\u0000Prior predictive approach is used to elicit the hyper parameters of mixture\u0000model. Analysis of Bayes estimates and posterior risks is presented in terms of\u0000sample size (n), mixing proportion ( p ) and censoring rate ( 0 t ), with\u0000the help of simulation study. Usefulness of the model is demonstrated on applying\u0000it to simulated and real-life data which show promising results in terms of\u0000better estimation and risk reduction.","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89794604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Parameter Estimation of the Weighted Generalized Inverse Weibull Distribution","authors":"Sofi Mudasir, S. Ahmad","doi":"10.2991/jsta.d.210607.002","DOIUrl":"https://doi.org/10.2991/jsta.d.210607.002","url":null,"abstract":"","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80898849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimation of Entropy for Weibull Distribution Based on Record Values","authors":"Manoj Chacko, P. Asha","doi":"10.2991/jsta.d.210610.001","DOIUrl":"https://doi.org/10.2991/jsta.d.210610.001","url":null,"abstract":"","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80019784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The XLindley Distribution: Properties and Application","authors":"Sarra Chouia, Halim zeghdoudi","doi":"10.2991/jsta.d.210607.001","DOIUrl":"https://doi.org/10.2991/jsta.d.210607.001","url":null,"abstract":"","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88277912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Alizadeh, M. Afshari, H. Karamikabir, H. Yousof
{"title":"The Odd Log-Logistic Burr-X Family of Distributions: Properties and Applications","authors":"M. Alizadeh, M. Afshari, H. Karamikabir, H. Yousof","doi":"10.2991/JSTA.D.210609.001","DOIUrl":"https://doi.org/10.2991/JSTA.D.210609.001","url":null,"abstract":"In this paper, a new class of distributions called the odd log-logistic Burr-X family with two extra positive parameters is introduced and studied. The new generator extends the odd log-logistic and Burr X distributions among several other well-known distributions.We provide somemathematical properties of the new family including asymptotics, moments, moment-generating function and incomplete moments. Different methods have been used to estimate its parameters such as maximum likelihood, least squares, weighted least squares, Cramer–von-Mises, Anderson–Darling and right-tailed Anderson–Darling methods. We evaluate the performance of the maximum likelihood estimators in terms of biases and mean squared errors by means of a simulation study. Finally, the usefulness of the family is illustrated by means of three real data sets. The new models provide consistently better fits than other competitive models for these data sets. The new family is suitable for fitting different real data sets, the odd log-logistic Burr-XNormalmodel is used formodeling bimodal and skewed data sets and can be sued as an alternative to the gamma-normal, beta-normal, McDonald-normal, Marshall-Olkin-normal, Kumaraswamy-normal, Zografos-Balakrishnan and Log-normal distributions.","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87794167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}