Pavel S. Knopov, Evgeniya J. Kasitskaya

Empirical Estimates in Stochastic Optimization and Identification

• Gebundenes Buch

Produktbeschreibung

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

Produktdetails

• Applied Optimization 71
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4020-0707-1
• 2002
• Seitenzahl: 264
• Erscheinungstermin: 30. Juni 2002
• Englisch
• Abmessung: 241mm x 160mm x 19mm
• Gewicht: 549g
• ISBN-13: 9781402007071
• ISBN-10: 1402007078
• Artikelnr.: 22030363

Inhaltsangabe

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