Nonlinear Regression, Functional Relations and Robust Methods: Statistical Methods of Model Building , vol. 2 Wiley Series in Probability and Statistics

Bunke, Helga and Olaf Bunke:

ISBN 10: 0471912395 / ISBN 13: 9780471912392

Published by John Wiley & Sons Ltd, 1990

About this Item

447 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 760.

Seller Inventory # 2127662

Bibliographic Details

• Title: Nonlinear Regression, Functional Relations and Robust Methods: Statistical Methods of Model Building , vol. 2 Wiley Series in Probability and Statistics
• Publisher: John Wiley & Sons Ltd
• Publication Date: 1990
• Language: English
• ISBN 10: 0471912395
• ISBN 13: 9780471912392
• Binding: gebundene Ausgabe
• Edition: 2nd Edition
• Condition: Gut
• Weight: 760 grams
• Seller catalogs:
  • 90 Varia

About this title

Synopsis

This book, the second volume in a three part work, provides a comprehensive and unified account of nonlinear regression analysis, functional and structural relations, and of nonparametric and robust estimators. Research in these areas has been stimulated by the increase in computational capabilities and this volume will therefore be of great interest to researchers in statistics as well as applied statisticians working in industry. The material provided includes recent work from German and Russian sources, as well as from English-speaking sources, and the treatment throughout is mathematically rigorous but accessible. The text will benefit rsearchers in statistics and applied statisticians working in industry.

From the Publisher

Part of a three-volume set, this monograph surveys the state of the art in research and applications of nonlinear regression, models with errors in the variables, and robust regression analysis, methods which are essential for analyzing experimental data, for modelling, and for investigating cause-and-effect relationships. Incorporating recent work from German and Russian sources, it offers the first comprehensive, unified presentation of the mathematical tools and results in a mathematically rigorous yet readable fashion. Coverage includes estimation, confidence, regions and tests; asymptotic properties such as consistency, normality, and efficiency for maximum likelihood; estimators based on rank and order statistics; and numerical methods for the calulation of estimates. Mathematical results are included in an appendix.