Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Image from Google Jackets

Chi-squared goodness of fit tests with applications / V. Voinov, M. Nikulin and N. Balakrishnan.

By: Contributor(s): Material type: TextTextPublication details: Amsterdam : Elsevier/AP, c2013.Description: xii, 229 p. : illustrations ; 24 cmISBN:
  • 9780123971944 (hardback)
Subject(s): DDC classification:
  • 000SA.094 23 V895
Contents:
1 A Historical Account -- 2 Pearson's Sum and Pearson-Fisher Test -- 3 Wald's Method and Nikulin-Rao-Robson Test -- 4 Wald's Method and Hsuan-Robson-Mirvaliev Test -- 5 Modifications Based on UMVUEs -- 6 Vector-Valued Tests -- 7 Applications of Modified Chi-Squared Tests -- 8 Probability Distributions of Interest -- 9 Chi-Squared Tests for Specific Distributions -- Bibliography -- Index.
Summary: "Chi-Squared Goodness of Fit Tests with Applications" provides a thorough and complete context for the theoretical basis and implementation of Pearson's monumental contribution and its wide applicability for chi-squared goodness of fit tests. The book is ideal for researchers and scientists conducting statistical analysis in processing of experimental data as well as to students and practitioners with a good mathematical background who use statistical methods. The historical context, especially Chapter 7, provides great insight into importance of this subject with an authoritative author team. This reference includes the most recent application developments in using these methods and models. Systematic presentation with interesting historical context and coverage of the fundamentals of the subject. Presents modern model validity methods, graphical techniques, and computer-intensive methods. Recent research and a variety of open problems. Interesting real-life examples for practitioners.
Tags from this library: No tags from this library for this title. Log in to add tags.

Includes bibliographical references and index.

1 A Historical Account --
2 Pearson's Sum and Pearson-Fisher Test --
3 Wald's Method and Nikulin-Rao-Robson Test --
4 Wald's Method and Hsuan-Robson-Mirvaliev Test --
5 Modifications Based on UMVUEs --
6 Vector-Valued Tests --
7 Applications of Modified Chi-Squared Tests --
8 Probability Distributions of Interest --
9 Chi-Squared Tests for Specific Distributions --
Bibliography --
Index.

"Chi-Squared Goodness of Fit Tests with Applications" provides a thorough and complete context for the theoretical basis and implementation of Pearson's monumental contribution and its wide applicability for chi-squared goodness of fit tests. The book is ideal for researchers and scientists conducting statistical analysis in processing of experimental data as well as to students and practitioners with a good mathematical background who use statistical methods. The historical context, especially Chapter 7, provides great insight into importance of this subject with an authoritative author team. This reference includes the most recent application developments in using these methods and models. Systematic presentation with interesting historical context and coverage of the fundamentals of the subject. Presents modern model validity methods, graphical techniques, and computer-intensive methods. Recent research and a variety of open problems. Interesting real-life examples for practitioners.

There are no comments on this title.

to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in