Pub Date : 2024-03-04DOI: 10.1080/02664763.2024.2321913
Alana Tavares Viana, Kelly Cristina Mota Gonçalves, Marina Silva Paez
In behavioral and social research, questionnaires are an important assessment tool, through which individuals can be categorized according to how they classify themselves in respect to a personal t...
{"title":"Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory","authors":"Alana Tavares Viana, Kelly Cristina Mota Gonçalves, Marina Silva Paez","doi":"10.1080/02664763.2024.2321913","DOIUrl":"https://doi.org/10.1080/02664763.2024.2321913","url":null,"abstract":"In behavioral and social research, questionnaires are an important assessment tool, through which individuals can be categorized according to how they classify themselves in respect to a personal t...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140034980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.1080/02664763.2024.2317299
Guoqiong Zhou, Wenjiang Jiang, Shixun Lin
The traditional factor analysis model assumes that the factors obey a normal distribution, which is not appropriate in fields whose data are nonnegative. For this kind of problem, we construct a mo...
{"title":"A new factor analysis model for factors obeying a Gamma distribution","authors":"Guoqiong Zhou, Wenjiang Jiang, Shixun Lin","doi":"10.1080/02664763.2024.2317299","DOIUrl":"https://doi.org/10.1080/02664763.2024.2317299","url":null,"abstract":"The traditional factor analysis model assumes that the factors obey a normal distribution, which is not appropriate in fields whose data are nonnegative. For this kind of problem, we construct a mo...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140010899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-27DOI: 10.1080/02664763.2024.2321904
Tsung-Shan Tsou, Wei-Cheng Hsiao
We introduce a robust likelihood approach to inference for paired multiple binary endpoints data. One can easily implement the methodology without dealing with the model that incorporates a large n...
{"title":"A robust likelihood approach to inference for paired multiple binary endpoints data","authors":"Tsung-Shan Tsou, Wei-Cheng Hsiao","doi":"10.1080/02664763.2024.2321904","DOIUrl":"https://doi.org/10.1080/02664763.2024.2321904","url":null,"abstract":"We introduce a robust likelihood approach to inference for paired multiple binary endpoints data. One can easily implement the methodology without dealing with the model that incorporates a large n...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140018666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-26DOI: 10.1080/02664763.2024.2319232
Girish Aradhye, Deepesh Bhati, George Tzougas
In this study, we explore the potential of composite probability distributions in effectively modeling claim severity data, which encompasses a spectrum of losses, ranging from minor to substantial...
{"title":"A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data","authors":"Girish Aradhye, Deepesh Bhati, George Tzougas","doi":"10.1080/02664763.2024.2319232","DOIUrl":"https://doi.org/10.1080/02664763.2024.2319232","url":null,"abstract":"In this study, we explore the potential of composite probability distributions in effectively modeling claim severity data, which encompasses a spectrum of losses, ranging from minor to substantial...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140010902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-22DOI: 10.1080/02664763.2024.2315458
Hirofumi Michimae, Takeshi Emura, Atsushi Miyamoto, Kazuma Kishi
In observational/field studies, competing risks and left-truncation may co-exist, yielding ‘left-truncated competing risks’ settings. Under the assumption of independent competing risks, parametric...
{"title":"Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models","authors":"Hirofumi Michimae, Takeshi Emura, Atsushi Miyamoto, Kazuma Kishi","doi":"10.1080/02664763.2024.2315458","DOIUrl":"https://doi.org/10.1080/02664763.2024.2315458","url":null,"abstract":"In observational/field studies, competing risks and left-truncation may co-exist, yielding ‘left-truncated competing risks’ settings. Under the assumption of independent competing risks, parametric...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139925865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.1080/02664763.2024.2313458
Zhujie Gu, Hae-Won Uh, Jeanine Houwing-Duistermaat, Said el Bouhaddani
In many studies of human diseases, multiple omics datasets are measured. Typically, these omics datasets are studied one by one with the disease, thus the relationship between omics is overlooked. ...
{"title":"Joint modeling of an outcome variable and integrated omics datasets using GLM-PO2PLS","authors":"Zhujie Gu, Hae-Won Uh, Jeanine Houwing-Duistermaat, Said el Bouhaddani","doi":"10.1080/02664763.2024.2313458","DOIUrl":"https://doi.org/10.1080/02664763.2024.2313458","url":null,"abstract":"In many studies of human diseases, multiple omics datasets are measured. Typically, these omics datasets are studied one by one with the disease, thus the relationship between omics is overlooked. ...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139925867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.1080/02664763.2024.2319222
Vera Hofer, Georg Krempl, Dominik Lang
Most of the existing adaptive classification algorithms in non-stationary data streams require recent labelled data for their updates. Such recent labels are often missing. For stream classificatio...
{"title":"Anticipative Bayesian classification for data streams with verification latency","authors":"Vera Hofer, Georg Krempl, Dominik Lang","doi":"10.1080/02664763.2024.2319222","DOIUrl":"https://doi.org/10.1080/02664763.2024.2319222","url":null,"abstract":"Most of the existing adaptive classification algorithms in non-stationary data streams require recent labelled data for their updates. Such recent labels are often missing. For stream classificatio...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139955543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-16DOI: 10.1080/02664763.2024.2317312
Andrew David Pearce, Armin Hatefi
Ranked set sampling (RSS) is used as a powerful data collection technique for situations where measuring the study variable requires a costly and/or tedious process while the sampling units can be ...
当测量研究变量需要一个昂贵和/或繁琐的过程，而抽样单位可以是...
{"title":"Multiple observers ranked set samples for shrinkage estimators","authors":"Andrew David Pearce, Armin Hatefi","doi":"10.1080/02664763.2024.2317312","DOIUrl":"https://doi.org/10.1080/02664763.2024.2317312","url":null,"abstract":"Ranked set sampling (RSS) is used as a powerful data collection technique for situations where measuring the study variable requires a costly and/or tedious process while the sampling units can be ...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139752033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-13DOI: 10.1080/02664763.2024.2315451
Panagiotis C. Theocharopoulos, Sotiris Bersimis, Spiros V. Georgakopoulos, Antonis Karaminas, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Computational Medicine encompasses the application of Statistical Machine Learning and Artificial Intelligence methods on several traditional medical approaches, including biochemical testing which...
{"title":"Developing predictive precision medicine models by exploiting real-world data using machine learning methods","authors":"Panagiotis C. Theocharopoulos, Sotiris Bersimis, Spiros V. Georgakopoulos, Antonis Karaminas, Sotiris K. Tasoulis, Vassilis P. Plagianakos","doi":"10.1080/02664763.2024.2315451","DOIUrl":"https://doi.org/10.1080/02664763.2024.2315451","url":null,"abstract":"Computational Medicine encompasses the application of Statistical Machine Learning and Artificial Intelligence methods on several traditional medical approaches, including biochemical testing which...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139752220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-11DOI: 10.1080/02664763.2024.2315470
Amin Shoari Nejad, Gerard D. McCarthy, Brian Kelleher, Anthony Grey, Andrew Parnell
Turbidity is commonly monitored as an important water quality index. Human activities, such as dredging and dumping operations, can disrupt turbidity levels and should be monitored and analysed for...
{"title":"Vector time series modelling of turbidity in Dublin Bay","authors":"Amin Shoari Nejad, Gerard D. McCarthy, Brian Kelleher, Anthony Grey, Andrew Parnell","doi":"10.1080/02664763.2024.2315470","DOIUrl":"https://doi.org/10.1080/02664763.2024.2315470","url":null,"abstract":"Turbidity is commonly monitored as an important water quality index. Human activities, such as dredging and dumping operations, can disrupt turbidity levels and should be monitored and analysed for...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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