Quantitative methods for management : a practical approach / by Miguel Ángel Canela, Inés Alegre, Alberto Ibarra.

By:

Canela, Miguel Ángel

Contributor(s):

Material type: Text

TextLanguage: English Publisher: Cham : Springer International Publishing, Imprint Springer. 2019Edition: 1st ed. 2019.Description: XIII, 144 p. 42 illus.ISBN:

9783030175542

Subject(s):

DDC classification:

658.5

LOC classification:

TS155-TS194

Contents:

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.

Summary: 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.

Holdings ( 2 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Book	TBS Barcelona Libre acceso	TS155 CAN (Browse shelf(Opens below))	1	Available		B02437
Book	TBS Barcelona Libre acceso	TS155 CAN (Browse shelf(Opens below))	2	Available		B05135

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.

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.