Can I read Robustness of Statistical Tests (Statistical Modeling and Decision Science) on EtoBox?

Robustness of Statistical Tests (Statistical Modeling and Decision Science) by Takeaki Kariya; Bimal K. Sinha; Gerald L. Lieberman; Ingram Olkin is a book available to read on EtoBox.

What is Robustness of Statistical Tests (Statistical Modeling and Decision Science) about?

Robustness of Statistical Tests provides a general, systematic finite sample theory of the robustness of tests and covers the application of this theory to some important testing problems commonly considered under normality. This eight-chapter text focuses on the robustness that is concerned with the exact robustness in which the distributional or optimal property that a test carries under a normal distribution holds exactly under a nonnormal distribution. Chapter 1 reviews the elliptically symmetric distributions and their properties, while Chapter 2 describes the representation theorem for the probability ration of a maximal invariant. Chapter 3 explores the basic concepts of three aspects of the robustness of tests, namely, null, nonnull, and optimality, as well as a theory providing methods to establish them. Chapter 4 discusses the applications of the general theory with the study of the robustness of the familiar Student's r-test and tests for serial correlation. This chapter also deals with robustness without invariance. Chapter 5 looks into the most useful and widely applied problems in multivariate testing, including the GMANOVA (General Multivariate Analysis of Variance).

Author

Takeaki Kariya; Bimal K. Sinha; Gerald L. Lieberman; Ingram Olkin

Publisher

Academic Press, Incorporated

Published

1989

Language

EN

ISBN

9781483266008

Subjects

Mathematics, Stem