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Testing Normality In Linear Statistical Models

Testing Normality In Linear Statistical Models

Paperback (03 Jan 2014)

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Publisher's 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 Publisher

LAP Lambert Academic Publishing

Since Lambert Academic Publishing's foundation, thousands of top researchers and renowned scientists have embraced its unprecedented approach to free publishing, thereby making it a leader in the book publishing industry today. Research projects, dissertations, diploma theses, master theses and doctoral theses are given unparalleled visibility and global readership. Our catalogue consists of over 40,000 dissertations and theses, which are produced in the form of high-quality paperbacks in the USA, UK and Germany and distributed through an extensive network of major retailers.

Book information

ISBN: 9783659502835
Publisher: KS Omniscriptum Publishing
Imprint: LAP Lambert Academic Publishing
Pub date:
Language: English
Number of pages: 144
Weight: 222g
Height: 229mm
Width: 152mm
Spine width: 9mm