Kniha One Sample Location Test for Symmetrical A. S. M. Borhan

One Sample Location Test for Symmetrical

Non-Normal Situations

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 407
This book first studies the performance of one sample t-test,z-test and Wilcoxon test under normal a...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2009
Stránek
144
EAN
9783639207170
Enbook ID
06828682
Hmotnost
231
Rozměry
150 x 220 x 9

Kompletní popis

This book first studies the performance of one sample t-test,z-test and Wilcoxon test under normal and non-normal situation for location problem.The simulation results show that power functions of t-test and z-test are very much affected when the data are generated from non-normal population.Also the Wilcoxon test produces lower power than t-test and z-test for small sample sizes even in non-normal situation.To overcome the dependence on normality assumption Carolan and Rayner derived Score test and Wald test for one sample location problem under symmetric condition,where the gk(x;µ, ) family of distribution was used to produce non-normal data for simulation.For the purpose of more robust procedure this book also suggests a robust test procedure for one sample location problem under a gk(x;µ, ) distribution assumption.The procedure is based on the ratio of the restricted and unrestricted likelihood of the sample data calculated numerically,and hence named as numerical likelihood ratio test(NLRT).The powers computed suggest that the NLRT is a better alternative to all of the tests considered in this book.

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