Statistical Decision Theory - Simon French, David Insua

Statistical Decision Theory

Buch | Hardcover
320 Seiten
2000
Hodder Arnold (Verlag)
978-0-340-61460-0 (ISBN)
65,95 inkl. MwSt
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Statisticians need to understand the mathematics and techniques of decision analysis in order that their inferential methods may interface with the other parts of the analysis. This text presents a broad overview of decision theory and its application before focusing on statistical decision theory.
Decision-theoretic ideas can structure the process of inference together with the decision-making that inference supports. Statistical decision theory is the sub-discipline of statistics which explores and develops this structure. Typically, discusion of decision theory within one discipline does not recognise that other disciplines may have considered the same or similar problems. This text, Volume 9 in the prestigious Kendall's Library of Statistics, provides an overview of the main ideas and concepts of statistical decision theory and sets it within the broader concept of decision theory, decision analysis and decision support as they are practised in many disciplines beyond statistics - including artificial intelligence, economics, operational research, philosophy and psychology.

Simon French, University of Manchester, UK David Rios Insua, Universidad Rey Juan Carlos, Madrid, Spain

Erscheint lt. Verlag 28.8.2000
Reihe/Serie Kendall's Library of Statistics
Zusatzinfo Illustrations
Verlagsort London
Sprache englisch
Maße 160 x 240 mm
Gewicht 607 g
Themenwelt Mathematik / Informatik Mathematik Statistik
ISBN-10 0-340-61460-9 / 0340614609
ISBN-13 978-0-340-61460-0 / 9780340614600
Zustand Neuware
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