Maximum-Entropy and Bayesian Methods in Science and Engineering | Volume 2: Applications

G. Erickson (u. a.)

ISBN 10: 9401090564 / ISBN 13: 9789401090568

Published by Springer, 2012

About this Item

Maximum-Entropy and Bayesian Methods in Science and Engineering | Volume 2: Applications | G. Erickson (u. a.) | Taschenbuch | ix | Englisch | 2012 | Springer | EAN 9789401090568 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105402178

Bibliographic Details

• Title: Maximum-Entropy and Bayesian Methods in Science and Engineering | Volume 2: Applications
• Publisher: Springer
• Publication Date: 2012
• Language: English
• ISBN 10: 9401090564
• ISBN 13: 9789401090568
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 160H x 25D millimeters 240 millimeters width by 160 millimeters height by 25 millimeters depth
• Weight: 723 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This volume has its origin in the Fifth, Sixth and Seventh Workshops on "Maximum-Entropy and Bayesian Methods in Applied Statistics", held at the University of Wyoming, August 5-8, 1985, and at Seattle University, August 5-8, 1986, and August 4-7, 1987. It was anticipated that the proceedings of these workshops would be combined, so most of the papers were not collected until after the seventh workshop. Because most of the papers in this volume 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 different fields to critically examine maximum-entropy and Bayesian methods in science and engineering as well as 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 Bayesian method. These workshops and their proceedings could not have been brought to their final form without the support or help of a number of people.