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The right decision = a mathematician reveals how the secrets of decision theory can help you make the right decision every time /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The right decision/ James Stein.
Reminder of title:	a mathematician reveals how the secrets of decision theory can help you make the right decision every time /
Author:	Stein, James D.,
Published:	New York :McGraw-Hill, : c2010.,
Description:	xi, 242 p.
Subject:	Decision making. -
Online resource:	Click for full text (McGrawHill)
ISBN:	9780071614191 (hbk.)

The right decision = a mathematician reveals how the secrets of decision theory can help you make the right decision every time /
Stein, James D.,1941-.

The right decisiona mathematician reveals how the secrets of decision theory can help you make the right decision every time /[electronic resource] :James Stein. - New York :McGraw-Hill,c2010. - xi, 242 p.

You are what you decide -- Creating the menu -- What's in it for me? determining your payoffs -- When the crystal ball is cloudy -- Dumping the losers: the admissibility criterion -- Worst-case scenarios: the minimax criterion -- In the long run: Bayes' criterion -- Taking the plunge: the maximax criterion -- Which club to use -- What you don't know can hurt you -- The balance of powers -- People who need people -- Hurts so good.

ISBN: 9780071614191 (hbk.)

LCCN: 2009025460Subjects--Topical Terms:

72964
Decision making.
Index Terms--Genre/Form:

96803
Electronic books.

LC Class. No.: HD30.23 / .S72573 2010

Dewey Class. No.: 153.8/3

The right decision = a mathematician reveals how the secrets of decision theory can help you make the right decision every time /
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245 1 4 $a The right decision $h [electronic resource] : $b a mathematician reveals how the secrets of decision theory can help you make the right decision every time / $c James Stein.
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300 $a xi, 242 p.
505 0 $a You are what you decide -- Creating the menu -- What's in it for me? determining your payoffs -- When the crystal ball is cloudy -- Dumping the losers: the admissibility criterion -- Worst-case scenarios: the minimax criterion -- In the long run: Bayes' criterion -- Taking the plunge: the maximax criterion -- Which club to use -- What you don't know can hurt you -- The balance of powers -- People who need people -- Hurts so good.
650 0 $a Decision making. $3 72964
655 7 $a Electronic books. $2 local. $3 96803
856 4 $u http://taebcmgh.sa.libraryandbook.net/FE/advanceSearch.do?method=toView&id=YsdsdebY187122aaY $z Click for full text (McGrawHill)

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