The Theory of Canonical Moments with Applications in Statistics, Probability, and Analysis

Передня обкладинка
John Wiley & Sons, 8 вер. 1997 р. - 324 стор.
This new material is concerned with the theory and applications of probability, statistics and analysis of canonical moments. It provides a powerful tool for the determination of optimal experimental designs, for the calculation of the main characteristics of random walks, and for other moment problems appearing in probability and statistics.
 

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Зміст

Canonical Moments and Optimal DesignsFirst Applications
128
Discrimination and Model Robust Designs
170
Canonical Moments and Random Walks
220

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Про автора (1997)

HOLGER DETTE is Professor of Mathematics at Ruhr-Universität Bochum, Fakultät und Institut für Mathematik, Germany.
WILLIAM J. STUDDEN is Professor of Statistics and Mathematics at Purdue University.

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