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.
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Adejumo, 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 currently a PhD. Student. His commitment to increasing knowledge made him to write this book. He is married with three children.
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786202518543
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Zustand: 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. Bestandsnummer des Verkäufers 385945632
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Taschenbuch. Zustand: 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. Bestandsnummer des Verkäufers 9786202518543
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786202518543
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