Authors:
- A radical rethinking of how elementary inferences should be made in statistics
- Exercises and suggestions for further reading are provided
- Suitable as textbook for graduate courses in Statistics
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
This monograph presents a radical rethinking of how elementary inferences should be made in statistics, implementing a comprehensive alternative to hypothesis testing in which the control of the probabilities of the errors is replaced by selecting the course of action (one of the available options) associated with the smallest expected loss.
Its strength is that the inferences are responsive to the elicited or declared consequences of the erroneous decisions, and so they can be closely tailored to the client’s perspective, priorities, value judgments and other prior information, together with the uncertainty about them.
Reviews
From the book reviews:
“The definition of statistics assumed in the book is that of making decisions in the presence of uncertainty and with limited resources. … Although intended to communicate the relevance, feasibility and value of decision theory for ‘everyday’ (statistical) professionals, the book can also be of value as a reference in a graduate course in statistics.” (Heleno Bolfarine, Mathematical Reviews, September, 2014)
Authors and Affiliations
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Universitat Pompeu Fabra Dept. of Economics and Business, Barcelona, Spain
Nicholas T. Longford
About the author
Bibliographic Information
Book Title: Statistical Decision Theory
Authors: Nicholas T. Longford
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-3-642-40433-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-3-642-40432-0Published: 30 October 2013
eBook ISBN: 978-3-642-40433-7Published: 17 October 2013
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: X, 124
Number of Illustrations: 23 b/w illustrations
Topics: Statistics, general