BIBLIOTECA MANUEL BELGRANO - Facultad de Ciencias Económicas - UNC

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Bayesian decision problems and Markov chains / by J. J. Martin.

Por: Tipo de material: TextoTextoSeries Publications in operatios research ; no. 13Detalles de publicación: New York, N.Y. : Wiley, 1967Descripción: xii, 202 p. : ilTema(s): Clasificación CDD:
  • 519.1
Resumen: Combines Bayesian decision theory and the theory of Markov chains by establishing a theoretical structure for Markov chains in which the transition probabilities are uncertain. Both sequential sampling and fixed sample size problems are considered. The development is largely theoretical, including questions of both existence and convergence. Problems of numerical computation are treated as they arise.
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Libro Libro Biblioteca Manuel Belgrano 519.1 M 12644 (Navegar estantería(Abre debajo)) Disponible 12644

"Originally submitted as a Ph.D. thesis. Massachusetts Institute of Technology, 1965.

Bibliografía: p. 125-162.

Combines Bayesian decision theory and the theory of Markov chains by establishing a theoretical structure for Markov chains in which the transition probabilities are uncertain. Both sequential sampling and fixed sample size problems are considered. The development is largely theoretical, including questions of both existence and convergence. Problems of numerical computation are treated as they arise.

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