Testing Normality In Linear Statistical Models

Kandunuru Vijaya Kuma

ISBN 10: 3659502839 / ISBN 13: 9783659502835

Published by LAP LAMBERT Academic Publishing Jan 2014, 2014

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -In the Present Book Chapter-I is an introductory one. It contains the general introduction about the problem of nonnormal disturbances in linear statistical models, Chapter-II deals with the consequences of nonnormal disturbances in linear statistical models under finite and infinite variances of disturbances and It explains a few Robust estimators.Chapter-III describes the review about the various existing tests for normality of observations. It deals with Shapiro-Wilk ¿W¿ test for normality and it¿s extensions along with the comparative study of various statistical procedures for evaluating the normality of a complete sample. Chapter ¿ IV proposes some new test procedures for testing the normality of disturbances in linear statistical models by using the various types of residuals namely, studentized, predicted, recursive and Best Linear Unbiased Scalar (BLUS) residuals.Chapter ¿V presents the conclusions.Several selected references have been documented under a separate caption ¿BIBLIOGRAPHY¿.Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch.

Seller Inventory # 9783659502835

Bibliographic Details

• Title: Testing Normality In Linear Statistical Models
• Publisher: LAP LAMBERT Academic Publishing Jan 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3659502839
• ISBN 13: 9783659502835
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 233 grams

About this title

Synopsis

In the Present Book Chapter-I is an introductory one. It contains the general introduction about the problem of nonnormal disturbances in linear statistical models, Chapter-II deals with the consequences of nonnormal disturbances in linear statistical models under finite and infinite variances of disturbances and It explains a few Robust estimators.Chapter-III describes the review about the various existing tests for normality of observations. It deals with Shapiro-Wilk ‘W’ test for normality and it’s extensions along with the comparative study of various statistical procedures for evaluating the normality of a complete sample. Chapter – IV proposes some new test procedures for testing the normality of disturbances in linear statistical models by using the various types of residuals namely, studentized, predicted, recursive and Best Linear Unbiased Scalar (BLUS) residuals.Chapter –V presents the conclusions.Several selected references have been documented under a separate caption ‘BIBLIOGRAPHY’.

About the Author

He is working as senior faculty in S.G.S Arts College, Tirupati. He has 14 years of teaching & 8 years Research Experience. He handles Bio-statistics & Mathematics for Pharmacy and Veterinary Science Students.He has 8 years Research Experience .He published 3 Papers & Presented 8 Papers in National/International Journals/Seminars/Workshops.