TY  - BOOK
AU  - Canela,Miguel Ángel
AU  - Alegre,Inés
AU  - Ibarra,Alberto
TI  - Quantitative methods for management : : a practical approach 
SN  - 9783030175542
AV  - TS155-TS194 
U1  - 658.5 
PY  - 2019/// ;
CY  - Cham
PB  - Springer International Publishing, Imprint Springer.
KW  - Production management
KW  - Engineering economy
KW  - Statistics
KW  - Commercial statistics
KW  - fast
KW  - Decision making
KW  - Statistical methods
KW  - Management
N1  - Summary 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

N2  - This 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
ER  -