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The Theory of Canonical Moments with Applications in Statistics, Probability and Analysis
Holger Dette
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Description for The Theory of Canonical Moments with Applications in Statistics, Probability and Analysis
Hardcover. 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. Series: Wiley Series in Probability and Statistics. Num Pages: 324 pages, black & white illustrations. BIC Classification: PBK; PBM; PBP; PBT; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 236 x 166 x 26. Weight in Grams: 668.
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.
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.
Product Details
Format
Hardback
Publication date
1997
Publisher
John Wiley & Sons Inc United States
Number of pages
324
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
324
Place of Publication
, United States
ISBN
9780471109914
SKU
V9780471109914
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Holger Dette
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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