Pub Date : 2024-07-29DOI: 10.1080/03610918.2024.2378149
Johanna de Haan-Ward, Simon J. Bonner, Douglas Woolford
When modeling rare events using logistic regression, independent samples of event occurrence (ones) and nonoccurrence (zeros) are commonly taken from large datasets in order to fit models efficient...
{"title":"On the prediction of rare events when sampling from large data","authors":"Johanna de Haan-Ward, Simon J. Bonner, Douglas Woolford","doi":"10.1080/03610918.2024.2378149","DOIUrl":"https://doi.org/10.1080/03610918.2024.2378149","url":null,"abstract":"When modeling rare events using logistic regression, independent samples of event occurrence (ones) and nonoccurrence (zeros) are commonly taken from large datasets in order to fit models efficient...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141869430","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 : 2024-07-27DOI: 10.1080/03610918.2024.2383650
Waqar Hafeez, Jianguo Du, Nazrina Aziz, Khalil Ullah, Wing-Keung Wong, Muhammad Imran, Zameer Abbas
To succeed in the global market, firms must prioritize quality over individual goals and preferences. One of the two primary approaches for ensuring quality is acceptance sampling, which is employe...
{"title":"A Bayesian approach with double group sampling plan to estimate quality regions for proportion of nonconforming products in industry based on beta prior","authors":"Waqar Hafeez, Jianguo Du, Nazrina Aziz, Khalil Ullah, Wing-Keung Wong, Muhammad Imran, Zameer Abbas","doi":"10.1080/03610918.2024.2383650","DOIUrl":"https://doi.org/10.1080/03610918.2024.2383650","url":null,"abstract":"To succeed in the global market, firms must prioritize quality over individual goals and preferences. One of the two primary approaches for ensuring quality is acceptance sampling, which is employe...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141770335","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 : 2024-07-23DOI: 10.1080/03610918.2024.2378952
Aidi Liu, Weihu Cheng, Ruijie Guan
In this paper, a novel skewed generalized normal distribution (NSGN), which encompasses several well-known distributions, is a two-component mixture model based on the generalized normal distributi...
{"title":"A novel skewed generalized normal distribution: properties, statistical inference, and its applications","authors":"Aidi Liu, Weihu Cheng, Ruijie Guan","doi":"10.1080/03610918.2024.2378952","DOIUrl":"https://doi.org/10.1080/03610918.2024.2378952","url":null,"abstract":"In this paper, a novel skewed generalized normal distribution (NSGN), which encompasses several well-known distributions, is a two-component mixture model based on the generalized normal distributi...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141770349","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 : 2024-07-22DOI: 10.1080/03610918.2024.2381077
Hongjian Zhu, Jun Yu, Qin Wang, Dejian Lai, Li Wang, Sheng Zhong
Clinical trials are an essential component of the drug development process, providing crucial data on the efficacy and safety of new treatments. However, traditional clinical trial designs can be i...
{"title":"Adaptive seamless phase II/III design with sequential estimation-adjusted urn model","authors":"Hongjian Zhu, Jun Yu, Qin Wang, Dejian Lai, Li Wang, Sheng Zhong","doi":"10.1080/03610918.2024.2381077","DOIUrl":"https://doi.org/10.1080/03610918.2024.2381077","url":null,"abstract":"Clinical trials are an essential component of the drug development process, providing crucial data on the efficacy and safety of new treatments. However, traditional clinical trial designs can be i...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141770090","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 : 2024-07-13DOI: 10.1080/03610918.2024.2376883
Andrey Novikov
In this article, we deal with sequential testing of multiple hypotheses. In the general scheme of construction of optimal tests based on the backward induction, we propose a modification which prov...
{"title":"A class of sequential multi-hypothesis tests","authors":"Andrey Novikov","doi":"10.1080/03610918.2024.2376883","DOIUrl":"https://doi.org/10.1080/03610918.2024.2376883","url":null,"abstract":"In this article, we deal with sequential testing of multiple hypotheses. In the general scheme of construction of optimal tests based on the backward induction, we propose a modification which prov...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141742381","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 : 2024-07-11DOI: 10.1080/03610918.2024.2374900
Fangrou Chai, Xingfa Zhang, Yuan Li, Yanshan Chen
Most of nonparametric GARCH models typically employ daily frequency data to forecast the returns, correlations, and risk indicators of financial assets, without incorporating alternative frequency ...
{"title":"The nonparametric GARCH model estimation using intraday high-frequency data","authors":"Fangrou Chai, Xingfa Zhang, Yuan Li, Yanshan Chen","doi":"10.1080/03610918.2024.2374900","DOIUrl":"https://doi.org/10.1080/03610918.2024.2374900","url":null,"abstract":"Most of nonparametric GARCH models typically employ daily frequency data to forecast the returns, correlations, and risk indicators of financial assets, without incorporating alternative frequency ...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612288","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 : 2024-07-11DOI: 10.1080/03610918.2024.2376867
Mingyao Li, Juanping Zhu
Bayesian adaptive estimation plays an important role in the parameter estimation in Psychophysics. Current study focuses on the quick reduction of the uncertainty of the parameters, but the paramet...
{"title":"Effective parameter space compression for Bayesian adaptive estimation","authors":"Mingyao Li, Juanping Zhu","doi":"10.1080/03610918.2024.2376867","DOIUrl":"https://doi.org/10.1080/03610918.2024.2376867","url":null,"abstract":"Bayesian adaptive estimation plays an important role in the parameter estimation in Psychophysics. Current study focuses on the quick reduction of the uncertainty of the parameters, but the paramet...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612286","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 : 2024-07-11DOI: 10.1080/03610918.2024.2376871
Jinmei Yue, Danshu Sheng, Feilong Lu
To better analyze dependent count data with bounded support, this paper proposes a first-order mixture binomial autoregressive (BAR(1)) model, which is constructed via making use of the Pegram oper...
{"title":"A mixed BAR(1) model driven by serially dependent innovation with application","authors":"Jinmei Yue, Danshu Sheng, Feilong Lu","doi":"10.1080/03610918.2024.2376871","DOIUrl":"https://doi.org/10.1080/03610918.2024.2376871","url":null,"abstract":"To better analyze dependent count data with bounded support, this paper proposes a first-order mixture binomial autoregressive (BAR(1)) model, which is constructed via making use of the Pegram oper...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612285","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 : 2024-07-11DOI: 10.1080/03610918.2024.2376198
Chandima N. P. G. Arachchige, Luke A. Prendergast
The median absolute deviation (MAD) is a robust measure of scale that is simple to implement, easy to interpret and often reported as a measure of dispersion when data is skewed. However, confidenc...
{"title":"Confidence intervals for median absolute deviations","authors":"Chandima N. P. G. Arachchige, Luke A. Prendergast","doi":"10.1080/03610918.2024.2376198","DOIUrl":"https://doi.org/10.1080/03610918.2024.2376198","url":null,"abstract":"The median absolute deviation (MAD) is a robust measure of scale that is simple to implement, easy to interpret and often reported as a measure of dispersion when data is skewed. However, confidenc...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141742382","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}
In many agricultural, forestry, environmental, and ecological surveys, data are often spatial in nature and exhibit spatial nonstationarity. A well-known method for addressing spatial nonstationari...
{"title":"Geographically weighted regression model-calibration for finite population parameter estimation under two stage sampling design","authors":"Bappa Saha, Ankur Biswas, Tauqueer Ahmad, Prachi Misra Sahoo, Kaustav Aditya, Nobin Chandra Paul","doi":"10.1080/03610918.2024.2369800","DOIUrl":"https://doi.org/10.1080/03610918.2024.2369800","url":null,"abstract":"In many agricultural, forestry, environmental, and ecological surveys, data are often spatial in nature and exhibit spatial nonstationarity. A well-known method for addressing spatial nonstationari...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612261","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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