Kendall's Advanced Theory of Statistics, Volume 1, Distribution Theory
6. Edition June 1994
700 Pages, Hardcover
Wiley & Sons Ltd
ISBN:
978-0-470-66530-5
John Wiley & Sons
Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics
The development of modern statistical theory is reflected in the history of the late Sir Maurice Kenfall's volumes, The Advanced Theory of Statistics. This landmark publication began life as a two-volume work and grew steadily as a single-authored work until the 1950s. In this edition, there is new material on skewness and kurtosis, hazard rate distribution, the bootstrap, the evaluation of the multivariate normal integral and ratios of quadratic forms. It also includes over 200 new references, 40 new exercises, and 20 further examples in the main text.
Frequency Distributions.
Measures of Location and Dispersion.
Moments and Cumulants.
Characteristic Functions.
Standard Distributions.
Systems of Distributions.
Multivariate Distributions.
Probability and Statistical Inference.
Random Sampling.
Standard Errors.
Exact Sampling Distributions.
Cumulants of Sampling Distributions 1.
Cumulants of Sampling Distributions 2.
Order Statistics.
The Multinormal Distribution and Quadratic Forms.
Distributions Associated with the Normal.
Appendix Tables.
References.
Matrix of Examples in Text.
Indexes.
Measures of Location and Dispersion.
Moments and Cumulants.
Characteristic Functions.
Standard Distributions.
Systems of Distributions.
Multivariate Distributions.
Probability and Statistical Inference.
Random Sampling.
Standard Errors.
Exact Sampling Distributions.
Cumulants of Sampling Distributions 1.
Cumulants of Sampling Distributions 2.
Order Statistics.
The Multinormal Distribution and Quadratic Forms.
Distributions Associated with the Normal.
Appendix Tables.
References.
Matrix of Examples in Text.
Indexes.
Alan Stuart is former Professor of Statistics at the London School of Economics.
J. Keith Ord is Professor of Management Science and Statistics at Pennsylvania State University.
J. Keith Ord is Professor of Management Science and Statistics at Pennsylvania State University.
