Empirical Estimates in Stochastic Optimization and Identification
This book contains problems of shastic 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 shastic optimization and estimations, postgraduate students, and graduate students studying such topics

1101305948
Empirical Estimates in Stochastic Optimization and Identification
This book contains problems of shastic 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 shastic optimization and estimations, postgraduate students, and graduate students studying such topics

109.99 In Stock
Empirical Estimates in Stochastic Optimization and Identification

Empirical Estimates in Stochastic Optimization and Identification

Empirical Estimates in Stochastic Optimization and Identification

Empirical Estimates in Stochastic Optimization and Identification

Hardcover(2002)

$109.99 
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Overview

This book contains problems of shastic 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 shastic optimization and estimations, postgraduate students, and graduate students studying such topics


Product Details

ISBN-13: 9781402007071
Publisher: Springer US
Publication date: 06/30/2002
Series: Applied Optimization , #71
Edition description: 2002
Pages: 250
Product dimensions: 6.14(w) x 9.21(h) x 0.36(d)

Table of Contents

1 Introduction.- 2 Parametric Empirical Methods.- 3 Parametric Regression Models.- 4 Periodogram Estimates for Random Processes and Fields.- 5 Nonparametric Identification Problems.- References.
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