Druck auf Anfrage Neuware - Printed after ordering - This volume has its origin in the third Workshop on Maximum-Entropy and Bayesian Methods in Applied Statistics, held at the University of Wyoming, August 1 to 4, 1983. It was anticipated that the proceedings of this workshop could not be prepared in a timely fashion, so most of the papers were not collected until a year or so ago. Because most of the papers are in the nature of advancing theory or solving specific problems, as opposed to status reports, it is believed that the contents of this volume will be of lasting interest to the Bayesian community. The workshop was organized to bring together researchers from differ ent fields to examine critically maximum-entropy and Bayesian methods in science, engineering, medicine, economics, and other disciplines. Some of the papers were chosen specifically to kindle interest in new areas that may offer new tools or insight to the reader or to stimulate work on pressing problems that appear to be ideally suited to the maximum-entropy or Bayes ian method.

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T�tulo: Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems : Proceedings of the Third Workshop on Maximum Entropy and Bayesian Methods in Applied Statistics, Wyoming, U.S.A., August 1�4, 1983
Editor: Springer Netherlands, Springer Netherlands
Fecha de publicaci�n: 1987
Idioma: Ingl�s
ISBN 10: 9027725799
ISBN 13: 9789027725790
Encuadernaci�n: Buch
Estado: Neu

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This volume has its origin in the third �Workshop on Maximum-Entropy and Bayesian Methods in Applied Statistics,� held at the University of Wyoming, August 1 to 4, 1983. It was anticipated that the proceedings of this workshop could not be prepared in a timely fashion, so most of the papers were not collected until a year or so ago. Because most of the papers are in the nature of advancing theory or solving specific problems, as opposed to status reports, it is believed that the contents of this volume will be of lasting interest to the Bayesian community. The workshop was organized to bring together researchers from differ� ent fields to examine critically maximum-entropy and Bayesian methods in science, engineering, medicine, economics, and other disciplines. Some of the papers were chosen specifically to kindle interest in new areas that may offer new tools or insight to the reader or to stimulate work on pressing problems that appear to be ideally suited to the maximum-entropy or Bayes� ian method.

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