In this study, a new cumulative sum (CUSUM) control chart has been proposed to detect a shift in one of the scale parameters of the New Weibull-Pareto Distribution (NWPD). The V-Mask method was employed in the CUSUM construction. The study indicated a significant changes in the parameters of the V-Mask when a slight shift occurs in the scale parameter under study. The parameters observed in the V-mask included the mask angle, the lead distance and the Average Run Length (ARL).
{"title":"One-Sided Cumulative Sum Control Chart For Monitoring Shift In The Scale Parameter Lambda, (λ) Of The New Weibull-Pareto Distribution","authors":"Shei Sayibu Baba, H. Jabir, S. Abdul-Salam","doi":"10.18576/jsapl/070204","DOIUrl":"https://doi.org/10.18576/jsapl/070204","url":null,"abstract":"In this study, a new cumulative sum (CUSUM) control chart has been proposed to detect a shift in one of the scale parameters of the New Weibull-Pareto Distribution (NWPD). The V-Mask method was employed in the CUSUM construction. The study indicated a significant changes in the parameters of the V-Mask when a slight shift occurs in the scale parameter under study. The parameters observed in the V-mask included the mask angle, the lead distance and the Average Run Length (ARL).","PeriodicalId":432299,"journal":{"name":"Journal of Statistics Applications & Probability Letters","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125107491","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":"Improved Chain Ratio-Product Type Estimators Under Double Sampling Scheme","authors":"","doi":"10.18576/jsapl/070205","DOIUrl":"https://doi.org/10.18576/jsapl/070205","url":null,"abstract":"","PeriodicalId":432299,"journal":{"name":"Journal of Statistics Applications & Probability Letters","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123485326","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 Exponentiated Gamma-Pareto Distribution with Application to Bladder Cancer Susceptibility","authors":"","doi":"10.18576/jsapl/070201","DOIUrl":"https://doi.org/10.18576/jsapl/070201","url":null,"abstract":"","PeriodicalId":432299,"journal":{"name":"Journal of Statistics Applications & Probability Letters","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130024705","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":"Double Sampling Log Type Estimators Using Auxiliary Attribute For Population Variance","authors":"","doi":"10.18576/jsapl/070104","DOIUrl":"https://doi.org/10.18576/jsapl/070104","url":null,"abstract":"","PeriodicalId":432299,"journal":{"name":"Journal of Statistics Applications & Probability Letters","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130144411","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 Measure of Departure from Partial Marginal Homogeneity for Square Contingency Tables","authors":"","doi":"10.18576/jsapl/070101","DOIUrl":"https://doi.org/10.18576/jsapl/070101","url":null,"abstract":"","PeriodicalId":432299,"journal":{"name":"Journal of Statistics Applications & Probability Letters","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134381538","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":"Used Better than Aged in mgf Ordering Class of Life Distribution with Application of Hypothesis Testing","authors":"","doi":"10.18576/jsapl/070103","DOIUrl":"https://doi.org/10.18576/jsapl/070103","url":null,"abstract":"","PeriodicalId":432299,"journal":{"name":"Journal of Statistics Applications & Probability Letters","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124035169","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":"Parametric Frailty Models for Clustered Survival Data: Application to Recurrent Asthma Attack in Infants","authors":"","doi":"10.18576/jsapl/060301","DOIUrl":"https://doi.org/10.18576/jsapl/060301","url":null,"abstract":"","PeriodicalId":432299,"journal":{"name":"Journal of Statistics Applications & Probability Letters","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134280163","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}
The research paper “Bayesian relative importance analysis of logistic regression models” in Journal of Statistics Applications & Probability Letters (Vol. 3 (2016):53-69) extended the relative importance research question in the Wang et al. (2013) from the ordinary linear regression model to the logistic regression model applying the Bayesian approach with different likelihood functions, prior distributions and posterior distributions. The numerical example and simulation studies were all performed on the logistics regression base. The Wang et al (2013) and Wang (2016) are truly independent research about the predictors’ relative importance conducted in the Bayesian framework, and the previous paper was cited.
Journal of Statistics Applications & Probability Letters (Vol. 3(2016):53-69)的研究论文“logistic回归模型的Bayesian相对重要性分析”将Wang et al.(2013)中的相对重要性研究问题从普通线性回归模型扩展到采用不同似然函数、先验分布和后验分布的贝叶斯方法的logistic回归模型。数值算例和仿真研究均在logistic回归基础上进行。Wang et al(2013)和Wang(2016)在贝叶斯框架下对预测因子的相对重要性进行了真正独立的研究，并引用了之前的论文。
{"title":"Errata and Corrigenda: Bayesian Relative Importance Analysis of Logistic Regression Models: Journal of Statistics Applications & Probability Letters (Vol. 3 (2016):53)","authors":"Xiaoyin Wang","doi":"10.18576/jsapl/060201","DOIUrl":"https://doi.org/10.18576/jsapl/060201","url":null,"abstract":"The research paper “Bayesian relative importance analysis of logistic regression models” in Journal of Statistics Applications & Probability Letters (Vol. 3 (2016):53-69) extended the relative importance research question in the Wang et al. (2013) from the ordinary linear regression model to the logistic regression model applying the Bayesian approach with different likelihood functions, prior distributions and posterior distributions. The numerical example and simulation studies were all performed on the logistics regression base. The Wang et al (2013) and Wang (2016) are truly independent research about the predictors’ relative importance conducted in the Bayesian framework, and the previous paper was cited.","PeriodicalId":432299,"journal":{"name":"Journal of Statistics Applications & Probability Letters","volume":"43 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120905641","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}
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