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Empirical Estimates in Stochastic Optimization and Identification
Knopov, Pavel S.; Kasitskaya, Evgeniya J.
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Description for Empirical Estimates in Stochastic Optimization and Identification
Hardback. Contains problems of stochastic optimization and identification. Results concerning uniform law of large numbers, convergence of approximate estimates of extremal points, as well as empirical estimates of functionals with probability 1 and in probability are also presented. Series: Applied Optimization. Num Pages: 258 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 15. Weight in Grams: 548.
This book contains problems of stochastic optimization and identification. Results concerning uniform law of large numbers, convergence of approximate estimates of extreme points, as well as empirical estimates of functionals with probability 1 and in probability are presented. Audience: Specialists in stochastic optimization and estimations, postgraduate students, and graduate students studying such topics
This book contains problems of stochastic optimization and identification. Results concerning uniform law of large numbers, convergence of approximate estimates of extreme points, as well as empirical estimates of functionals with probability 1 and in probability are presented. Audience: Specialists in stochastic optimization and estimations, postgraduate students, and graduate students studying such topics
Product Details
Format
Hardback
Publication date
2002
Publisher
Kluwer Academic Publishers United States
Number of pages
258
Condition
New
Series
Applied Optimization
Number of Pages
250
Place of Publication
New York, NY, United States
ISBN
9781402007071
SKU
V9781402007071
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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