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

G. Erickson (u. a.)

ISBN 10: 9027725799 / ISBN 13: 9789027725790

Published by Springer Netherland, 1987

About this Item

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 | G. Erickson (u. a.) | Buch | 332 S. | Englisch | 1987 | Springer Netherland | EAN 9789027725790 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 107451680

Bibliographic Details

• Title: 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
• Publisher: Springer Netherland
• Publication Date: 1987
• Language: English
• ISBN 10: 9027725799
• ISBN 13: 9789027725790
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 23D millimeters 241 millimeters width by 160 millimeters height by 23 millimeters depth
• Weight: 670 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.