Study Sensitivity Robustness Sample by Taiwo Joel (6 results)

Taschenbuch. Condition: Neu. A Study on Sensitivity and Robustness of one Sample and Matched-Pairs | Inferential Statistics to Outliers | Adejumo Taiwo Joel | Taschenbuch | 176 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202518543 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The presence of outlier(s) in a data set may be inevitable as it can occur naturally in a population. Various test statistics have been developed, these are parametric (student t-test, z-test, paired t-test), non-parametric: Distribution Sign Test (DST), Asymptotic Sign Test (AST)Distribution, Wilcoxon Sign Rank test (DWST) and Asymptotic Wilcoxon Sign Rank Test (AWST), t-test for rank transformation which bridges the gap between the parametric and the non-parametric (Rt-test), and the Trimmed t-test statistic (Tt-test). Consequently, research carried out in this book examines the effect of outliers on one sample and paired sample inferential test statistics so as to determine the most sensitive and robust ones. At each sample size, 10% and 20% of the generated data were invoked with twenty-one (21) various magnitude of outliers (-10, -9,., 9, 10). When there was no outlier in the data sets, the Type 1 error rate of the statistics was determined, while with outliers, the Power rate was determined to assess their sensitivity and robustness. Hence, end-user of statistics, researchers, policymakers among others will find this book viable and useful. 176 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Taiwo Joel AdejumoAdejumo, Taiwo Joel is a seasoned researcher in the field of statistics. He obtained B.Tech. Hons. and M.Tech. degree from Ladoke Akintola University of Technology (LAUTECH) Ogbomoso Oyo State Nigeria. He is current.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The presence of outlier(s) in a data set may be inevitable as it can occur naturally in a population. Various test statistics have been developed, these are parametric (student t-test, z-test, paired t-test), non-parametric: Distribution Sign Test (DST), Asymptotic Sign Test (AST)Distribution, Wilcoxon Sign Rank test (DWST) and Asymptotic Wilcoxon Sign Rank Test (AWST), t-test for rank transformation which bridges the gap between the parametric and the non-parametric (Rt-test), and the Trimmed t-test statistic (Tt-test). Consequently, research carried out in this book examines the effect of outliers on one sample and paired sample inferential test statistics so as to determine the most sensitive and robust ones. At each sample size, 10% and 20% of the generated data were invoked with twenty-one (21) various magnitude of outliers (-10, -9,¿, 9, 10). When there was no outlier in the data sets, the Type 1 error rate of the statistics was determined, while with outliers, the Power rate was determined to assess their sensitivity and robustness. Hence, end-user of statistics, researchers, policymakers among others will find this book viable and useful.Books on Demand GmbH, Überseering 33, 22297 Hamburg 176 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The presence of outlier(s) in a data set may be inevitable as it can occur naturally in a population. Various test statistics have been developed, these are parametric (student t-test, z-test, paired t-test), non-parametric: Distribution Sign Test (DST), Asymptotic Sign Test (AST)Distribution, Wilcoxon Sign Rank test (DWST) and Asymptotic Wilcoxon Sign Rank Test (AWST), t-test for rank transformation which bridges the gap between the parametric and the non-parametric (Rt-test), and the Trimmed t-test statistic (Tt-test). Consequently, research carried out in this book examines the effect of outliers on one sample and paired sample inferential test statistics so as to determine the most sensitive and robust ones. At each sample size, 10% and 20% of the generated data were invoked with twenty-one (21) various magnitude of outliers (-10, -9,., 9, 10). When there was no outlier in the data sets, the Type 1 error rate of the statistics was determined, while with outliers, the Power rate was determined to assess their sensitivity and robustness. Hence, end-user of statistics, researchers, policymakers among others will find this book viable and useful.