Identifiability in stochastic models : characterization of probability distributions /

The problem of identifiability is basic to all statistical methods and data analysis, occurring in such diverse areas as Reliability Theory, Survival Analysis, and Econometrics, where stochastic modeling is widely used. Mathematics dealing with identifiability per se is closely related to the so-cal...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Prakasa Rao, B. L. S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Academic Press, �1992.
Colección:Probability and mathematical statistics.
Temas:
Distribution (Probability theory)
Stochastic analysis.
Distribution (Th�eorie des probabilit�es)
Analyse stochastique.
distribution (statistics-related concept)
Stochastic analysis
Stochastisches Modell
Systemidentifikation
Wahrscheinlichkeitsrechnung
Probabilities
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Machine derived contents note: Table of contents for Identifiability in stochastic models : characterization of probability distributions / B.L.S. Prakasa Rao.
  • Bibliographic record and links to related information available from the Library of Congress catalog
  • Information from electronic data provided by the publisher. May be incomplete or contain other coding.
  • Introduction. Identifiability of Probability Distributions of Real-Valued Random Variables Based on Some Funcions of Them. Identifiability of Probability Measures on Abstract Spaces. Identifiability for Some Types of Stochastic Processes. Generalized Convolutions. Identifiability in Some Econometric Models. Identifiability in Some Models for Reliability and Survival Analysis. Identifiability for Mixtures of Distributions. Chapter References. Index.
  • Library of Congress subject headings for this publication: Distribution (Probability theory)Stochastic analysis.

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