000			03351cam a22003854a 4500
001			13215
003			0000000000
005			20240411192108.0
008			101228s2012 njua b 001 0 eng
010			_a 2010050498
020			_a0132149117 (alk. paper)
020			_a9780132149112 (alk. paper)
035			_a(0000000000)57092
035			_a(IMchF)fol13512250
035			_a(OCoLC)ocn694679177
040			_aDLC _cDLC _dYDX _dYDXCP _dCDX _dDLC
042			_apcc
050	0	0	_aT56 _b.R544 2012
082	0	0	_a658.4/03 _222
100	1		_aRender, Barry.
245	1	0	_aQuantitative analysis for management.
250			_a11th ed. / _bBarry Render, Ralph M. Stair, Jr., Michael E. Hanna.
260			_aUpper Saddle River, N.J. : _bPearson Prentice Hall, _cc2012.
300			_axx, 647 p. : _bill. ; _c29 cm.
500			_aThe eleventh edition of Quantitative Analysis for Management continues to provide both graduate and undergraduate students with a solid foundation in quantitative methods and management science. Thanks to the comments and suggestions from numerous users and reviewers of this textbook over the last thirty years, we are able to make this best-selling textbook even better. We continue to place emphasis on model building and computer applications to help students understand how the techniques presented in this book are actually used in business today. In each chapter, managerial problems are presented to provide motivation for learning the techniques that can be used to address these problems. Next, the mathematical models, with all necessary assumptions, are presented in a clear and concise fashion. The techniques are applied to the sample problems with complete details provided. We have found that this method of presentation is very effective, and students are very appreciative of this approach. If the mathematical computations for a technique are very detailed, the mathematical details are presented in such a way that the instructor can easily omit these sections without interrupting the flow of the material. The use of computer software allows the instructor to focus on the managerial problem and spend less time on the mathematical details of the algorithms. Computer output is provided for many examples. The only mathematical prerequisite for this textbook is algebra. One chapter on probability and another chapter on regression analysis provide introductory coverage of these topics. We use standard notation, terminology, and equations throughout the book. Careful verbal explanation is provided for the mathematical notation and equations used. Keyword: analysis, quality, technique, mathematics
504			_aIncludes bibliographical references and index.
650		0	_aManagement science.
650		0	_aOperations research.
700	1		_aHanna, Michael E.
700	1		_aStair, Ralph M.
999			_c3436 _d3436