Linear Regression:
Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Groß, Jürgen (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Berlin, Heidelberg Springer Berlin Heidelberg 2003
Schriftenreihe:Lecture Notes in Statistics 175
Schlagworte:
Online-Zugang:Volltext
Beschreibung:In linear regression the ordinary least squares estimator plays a central role and sometimes one may get the impression that it is the only reasonable and applicable estimator available. Nonetheless, there exists a variety of alternatives, proving useful in specific situations. Purpose and Scope. This book aims at presenting a comprehensive survey of different point estimation methods in linear regression, along with the theoretical background on a advanced courses level. Besides its possible use as a companion for specific courses, it should be helpful for purposes of further reading, giving detailed explanations on many topics in this field. Numerical examples and graphics will aid to deepen the insight into the specifics of the presented methods. For the purpose of self-containment, the basic theory of linear regression models and least squares is presented. The fundamentals of decision theory and matrix algebra are also included. Some prior basic knowledge, however, appears to be necessary for easy reading and understanding
Beschreibung:1 Online-Ressource (XII, 394p)
ISBN:9783642558641
9783540401780
ISSN:0930-0325
DOI:10.1007/978-3-642-55864-1

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