Kendall's Library of Statistics
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Arnold, a member of the Hodder Headline group, Publisher of Kendall's Library of Statistics.

Kendall’s Advanced Theory of Statistics, Volume 1: Distribution Theory, 6th edition

The late A Stuart, Former Professor Emeritus of Statistics, London School of Economics, UK
J. Keith Ord, Professor of Decision Sciences, Georgetown University, Washington DC, USA.

Kendall's Advanced Theory of Statistics, Vol. 1
Published: 1994, Hardback, 620pp, ISBN: 0340 614307, Price: £85.00

‘Statisticians should thank the authors for continuing to keep student, teacher and researcher up-to-date.’ Short Book Reviews

Key Features:

  • An advanced text and comprehensive reference for modern statistical distributions and related sampling theory
  • Covers both univariate and multivariate distributions in depth, with a systematic development of the theory
  • Includes extensive worked examples and end-of-chapter exercises
  • Cross-referenced to the other volumes in Kendall’s Advanced Theory of Statistics.

Description:

Volume 1 of The Advanced Theory of Statistics is an advanced comprehensive reference for modern statistical distributions and related sampling theory. This sixth edition has been significantly changed and improved. A largely new Chapter 7 now provides a unified treatment of bivariate and multivariate distributions. Elsewhere, major updates include new material on skewness and kurtosis, hazard rate distributions, the bootstrap, the evaluation of the multivariate normal integral and ratios of quadratic forms. The new edition includes over 200 additional references, 40 new exercises and 20 further examples in the main text. In addition, the text examples are listed at the front of the book for easier reference.

Readership:

All statisticians, at all levels.

Contents:

List of examples in the text
Introductory note
Glossary of abbreviations
1. Frequency distributions
2. Measures of location and dispersion
3. Moments and cumulants
4. Characteristic functions
5. Standard distributions
6. Systems of distributions
7. Multivariate distributions
8. Probability and statistical inference
9. Random sampling
10. Standard errors
11. Exact sampling distributions
12. Cumulants of sampling distributions (1)
13. Cumulants of sampling distributions (2)
14. Order statistics
15. The multinormal distribution and quadratic forms
16. Distributions associated with the normal
Appendix tables
References
Matrix of examples in text
Subject index
Author index

 

  

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