000			02880cam a2200361 i 4500
001			8771546
003			CaAEU
005			20240319104106.0
006			m d
007			cr nn |||mamaa
008			190725s2019 gw o 000 0 eng d
020			_a9783030175542
040			_aLQU _beng _cLQU _dUPM _dOCLCO _dYDX _dGW5XE _dOCLCF _dAEU
050		4	_aTS155-TS194
082	0	4	_a658.5
100	1		_aCanela, Miguel Ángel.
245	1	0	_aQuantitative methods for management _b: a practical approach / _cby Miguel Ángel Canela, Inés Alegre, Alberto Ibarra.
250			_a1st ed. 2019.
264		1	_aCham : _bSpringer International Publishing, _c2019 ; : _bImprint Springer.
300			_aXIII, 144 p. 42 illus.
505			_aSummary Statistics — Probability Distributions — Regression Analysis — The Regression Line — Multiple Regression — Testing Regression Coefficients — Dummy Variables — Interaction — Classification — Classification Models — Out-of-Sample Validation — Time Series Data — Trend and Seasonality — Nonlinear Trends — Moving Average Trends — Holt-Winters Forecasting.
520			_aThis book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems. Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the books website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes.
650		0	_aProduction management.
650		0	_aEngineering economy.
650		0	_aStatistics.
650		7	_aCommercial statistics. _2fast _0(OCoLC)fst00869640
650		7	_aDecision making _xStatistical methods. _2fast _0(OCoLC)fst00889068
650		7	_aManagement _xStatistical methods. _2fast _0(OCoLC)fst01007232
700	1		_aAlegre, Inés.
700	1		_aIbarra, Alberto.
942			_2lcc
999			_c3596 _d3596
041			_aEnglish