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Quantitative methods for managementa...

Alegre, Ines.

Quantitative methods for managementa practical approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantitative methods for managementby Miguel Angel Canela, Ines Alegre, Alberto Ibarra.
Reminder of title:	a practical approach /
Author:	Canela, Miguel Angel.
other author:	Alegre, Ines.
Published:	Cham :Springer International Publishing :2019.
Description:	xiii, 144 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Production management.
Online resource:	https://doi.org/10.1007/978-3-030-17554-2
ISBN:	9783030175542$q(electronic bk.)

Quantitative methods for managementa practical approach /
Canela, Miguel Angel.

Quantitative methods for managementa practical approach /[electronic resource] :by Miguel Angel Canela, Ines Alegre, Alberto Ibarra. - Cham :Springer International Publishing :2019. - xiii, 144 p. :ill., digital ;24 cm.

Part I: Basics -- Part II: Regression Analysis -- Part III: Classification -- Part IV: Times Series Data.

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 book's 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.

ISBN: 9783030175542$q(electronic bk.)

Standard No.: 10.1007/978-3-030-17554-2doiSubjects--Topical Terms:

184254
Production management.

LC Class. No.: HD30.23 / .C364 2019

Dewey Class. No.: 658.5

Quantitative methods for managementa practical approach /
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245 1 0 $a Quantitative methods for management $h [electronic resource] : $b a practical approach / $c by Miguel Angel Canela, Ines Alegre, Alberto Ibarra.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xiii, 144 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I: Basics -- Part II: Regression Analysis -- Part III: Classification -- Part IV: Times Series Data.
520 $a 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 book's 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.
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700 1 $a Alegre, Ines. $3 849221
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