000			02290nam a22002897a 4500
003			CUTN
005			20180906164521.0
008			180906b xxu||||| |||| 00| 0 eng d
020			_a9788131772485
041			_aEnglish
082			_a658.403 _bLEV
100			_aLevine, David M.
245			_aQuantitative Techniques for Management _cDavid M. Levine; Mark L. Berenson; Timothy C. Krehbiel;Barry Render; Ralph M. Stair Jr.; Michael E. Hanna
260			_aNoida : _bPearson Education, _c2013.
300			_axiii, various pages : _c28 cm.
505			_tIntroduction to Statistics: Grouping and Displaying Data _tMeasures of Central Tendency and Dispersion _tFundamentals of Probability _tProbability Distributions _tDecision Theory _tGame Theory _tLinear Programming _tTransportation and Assignment Models _tSimulation _tSampling and Estimation _tHypothesis Testing _tRegression Analysis _tForecasting and Time-Series Analysis
650			_aManagement--Data processing
650			_aManagement--Mathematical models
650			_aOperations research
700			_aBerenson, Mark L.
700			_aKrehbiel, Timothy C.
700			_aRender, Barry
700			_aStair Jr., Ralph M.
700			_aHanna, Michael E.
942			_2ddc _cBOOKS
520			_aSpecially designed to meet the requirements of management students, this reader-friendly and example-driven book on quantitative techniques presents a comprehensive coverage of the subject. The key highlight of the book is its focused approach achieved by combining relevant topics from business statistics and quantitative analysis. It discusses a wide range of concepts such as basic statistics, probability, decision and game theories, linear programming, sampling, regression analysis, and forecasting. Extensive syllabi research and instructor reviews have ensured that the chapters in the book cover the curriculum of major Indian universities. The emphasis on the interpretation of results rather than computation makes this book highly relevant. Students are encouraged to apply their learning to real-life challenges through a multitude of problems provided in the text.
999			_c25777 _d25777