Kniha Stochastic Processes Malempati M. Rao

Stochastic Processes

Inference Theory

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer, Berlin
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
5 353
This book presents a complete mathematical treatment of classical inference theory (Neyman-Pearson,...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2010
Stránek
645
EAN
9781441948328
Enbook ID
01423256
Vydavatel
Hmotnost
988
Rozměry
160 x 240 x 41

Kompletní popis

This book presents a complete mathematical treatment of classical inference theory (Neyman-Pearson, Fisher, and Wald) from the point of using it in stochastic processes, including some generalizations. It includes detailed analysis of likelihood ratios for both Gaussian and several other classes (infinitely divisible, jump Markov, diffusion and additive). Both linear and nonlinear filtering (also for general nonquadratic criteria) are treated. The corresponding Kalman-Bucy filters for continuous parameter processes are presented. Consistency and limit distributions of estimations of biospectral densities of harmonizable processes are given. Audience: Researchers and graduate students working in mathematics, statistics, and systems and communication engineering.

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