Pub Date : 2023-08-25DOI: 10.1080/10485252.2023.2250011
J. Racine, Qi Li, Qiaoyu Wang
{"title":"Boundary-adaptive kernel density estimation: the case of (near) uniform density","authors":"J. Racine, Qi Li, Qiaoyu Wang","doi":"10.1080/10485252.2023.2250011","DOIUrl":"https://doi.org/10.1080/10485252.2023.2250011","url":null,"abstract":"","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"110 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73284507","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}
MODEL CHECKS FOR TWO-SAMPLE LOCATION-SCALE by Atefeh Javidialsaadi Two-sample location-scale refers to a model that permits a pair of standardized random variables to have a common distribution. This means that if X1 and X2 are two random variables with means μ1 and μ2 and standard deviations σ1 and σ2, then (X1−μ1)/σ1 and (X2−μ2)/σ2 have some common unspecified standard or base distribution F0. Function-based hypothesis testing for these models refers to formal tests that would help determine whether or not two samples may have come from some location-scale family of distributions, without specifying the standard distribution F0. For uncensored data, Hall et al. (2013) proposed a test based on empirical characteristic functions (ECFs), but it can not be directly applied for censored data. Empirical likelihood with minimum distance (MD) plug-ins provides an alternative to the approach based on ECFs (Subramanian, 2020). However, when working with standardized data, it appeared feasible to set up plug-in empirical likelihood (PEL) with estimated means and standard deviations as plug-ins, which avoids MD estimation of location and scale parameters and (hence) quantile estimation. This project addresses two issues: (i) Set up a PEL founded testing procedure that uses sample means and standard deviations as the plug-ins for uncensored case, and Kaplan–Meier integral based estimators as plug-ins for censored case, (ii) Extend the ECF test to accommodate censoring. Large sample null distributions of the proposed test statistics are derived. Numerical studies are carried out to investigate the performance of the proposed methods. Real examples are also presented for both the uncensored and censored cases. MODEL CHECKS FOR TWO-SAMPLE LOCATION-SCALE by Atefeh Javidialsaadi A Dissertation Submitted to the Faculty of New Jersey Institute of Technology and Rutgers, The State University of New Jersey – Newark in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Mathematical Sciences Department of Mathematical Sciences Department of Mathematics and Computer Science, Rutgers-Newark
{"title":"Model checks for two-sample location-scale","authors":"Atefeh Javidialsaadi, Shoubhik Mondal, Sundarraman Subramanian","doi":"10.1080/10485252.2023.2243350","DOIUrl":"https://doi.org/10.1080/10485252.2023.2243350","url":null,"abstract":"MODEL CHECKS FOR TWO-SAMPLE LOCATION-SCALE by Atefeh Javidialsaadi Two-sample location-scale refers to a model that permits a pair of standardized random variables to have a common distribution. This means that if X1 and X2 are two random variables with means μ1 and μ2 and standard deviations σ1 and σ2, then (X1−μ1)/σ1 and (X2−μ2)/σ2 have some common unspecified standard or base distribution F0. Function-based hypothesis testing for these models refers to formal tests that would help determine whether or not two samples may have come from some location-scale family of distributions, without specifying the standard distribution F0. For uncensored data, Hall et al. (2013) proposed a test based on empirical characteristic functions (ECFs), but it can not be directly applied for censored data. Empirical likelihood with minimum distance (MD) plug-ins provides an alternative to the approach based on ECFs (Subramanian, 2020). However, when working with standardized data, it appeared feasible to set up plug-in empirical likelihood (PEL) with estimated means and standard deviations as plug-ins, which avoids MD estimation of location and scale parameters and (hence) quantile estimation. This project addresses two issues: (i) Set up a PEL founded testing procedure that uses sample means and standard deviations as the plug-ins for uncensored case, and Kaplan–Meier integral based estimators as plug-ins for censored case, (ii) Extend the ECF test to accommodate censoring. Large sample null distributions of the proposed test statistics are derived. Numerical studies are carried out to investigate the performance of the proposed methods. Real examples are also presented for both the uncensored and censored cases. MODEL CHECKS FOR TWO-SAMPLE LOCATION-SCALE by Atefeh Javidialsaadi A Dissertation Submitted to the Faculty of New Jersey Institute of Technology and Rutgers, The State University of New Jersey – Newark in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Mathematical Sciences Department of Mathematical Sciences Department of Mathematics and Computer Science, Rutgers-Newark","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"33 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80291186","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 : 2023-07-24DOI: 10.1080/10485252.2023.2238841
Hong-Fan Zhang
{"title":"A varying coefficient model with matrix valued covariates","authors":"Hong-Fan Zhang","doi":"10.1080/10485252.2023.2238841","DOIUrl":"https://doi.org/10.1080/10485252.2023.2238841","url":null,"abstract":"","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"5 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74329515","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 : 2023-07-16DOI: 10.1080/10485252.2023.2233642
Amel Azzi, Abderrahmane Belguerna, Ali Laksaci, Mustapha Rachdi
{"title":"The scalar-on-function modal regression for functional time series data","authors":"Amel Azzi, Abderrahmane Belguerna, Ali Laksaci, Mustapha Rachdi","doi":"10.1080/10485252.2023.2233642","DOIUrl":"https://doi.org/10.1080/10485252.2023.2233642","url":null,"abstract":"","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"34 4 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87668719","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 : 2023-07-16DOI: 10.1080/10485252.2023.2235430
S. Jeong, Choongrak Kim, Hojin Yang
{"title":"Wasserstein filter for variable screening in binary classification in the reproducing kernel Hilbert space","authors":"S. Jeong, Choongrak Kim, Hojin Yang","doi":"10.1080/10485252.2023.2235430","DOIUrl":"https://doi.org/10.1080/10485252.2023.2235430","url":null,"abstract":"","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"24 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73062450","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 : 2023-07-12DOI: 10.1080/10485252.2023.2234507
E. Bongiorno, Lax Chan, A. Goia
{"title":"Detecting the complexity of a functional time series","authors":"E. Bongiorno, Lax Chan, A. Goia","doi":"10.1080/10485252.2023.2234507","DOIUrl":"https://doi.org/10.1080/10485252.2023.2234507","url":null,"abstract":"","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"14 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90174129","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 : 2023-07-10DOI: 10.1080/10485252.2023.2231565
C. Weiß, Alexander Schnurr
{"title":"Generalized ordinal patterns in discrete-valued time series: nonparametric testing for serial dependence","authors":"C. Weiß, Alexander Schnurr","doi":"10.1080/10485252.2023.2231565","DOIUrl":"https://doi.org/10.1080/10485252.2023.2231565","url":null,"abstract":"","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"86 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78158366","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 : 2023-06-26DOI: 10.1080/10485252.2023.2220044
Lei Huang, Li Zhang, Yichuan Zhao
{"title":"Jackknife empirical likelihood for the lower-mean ratio","authors":"Lei Huang, Li Zhang, Yichuan Zhao","doi":"10.1080/10485252.2023.2220044","DOIUrl":"https://doi.org/10.1080/10485252.2023.2220044","url":null,"abstract":"","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"31 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81186337","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 : 2023-06-15DOI: 10.1080/10485252.2023.2223322
Radhakanta Das
{"title":"An optimal sequential design in ethical allocation with an adaptive interim analysis","authors":"Radhakanta Das","doi":"10.1080/10485252.2023.2223322","DOIUrl":"https://doi.org/10.1080/10485252.2023.2223322","url":null,"abstract":"","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"44 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82541296","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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