國立虎尾科技大學 |

Quantitative methods for management = a practical approach /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantitative methods for management/ by 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

Quantitative methods for management = a 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

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

566447
Production management.

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

Dewey Class. No.: 658.5

Quantitative methods for management = a practical approach /
LDR:02371nam a2200325 a 4500 001 941643
003 DE-He213
005 20191127160902.0
006 m d
007 cr nn 008maaau
008 200417s2019 gw s 0 eng d
020 $a 9783030175542 $q (electronic bk.)
020 $a 9783030175535 $q (paper)
024 7 $a 10.1007/978-3-030-17554-2 $2 doi
035 $a 978-3-030-17554-2
040 $a GP $c GP
041 0 $a eng
050 4 $a HD30.23 $b .C364 2019
072 7 $a KJMV $2 bicssc
072 7 $a BUS087000 $2 bisacsh
072 7 $a KJMV $2 thema
082 0 4 $a 658.5 $2 23
090 $a HD30.23 $b .C221 2019
100 1 $a Canela, Miguel Angel. $3 1229044
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 : $c 2019. $b Springer International Publishing : $b Imprint: Springer,
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.
650 0 $a Production management. $3 566447
650 0 $a Engineering economy. $3 632434
650 0 $a Statistics. $3 556824
650 1 4 $a Operations Management. $3 1069063
650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 669171
650 2 4 $a Operations Research, Management Science. $3 785065
650 2 4 $a Statistics for Business, Management, Economics, Finance, Insurance. $3 1211158
700 1 $a Alegre, Ines. $3 1229045
700 1 $a Ibarra, Alberto. $3 1229046
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-17554-2
950 $a Business and Management (Springer-41169)