東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Prescriptive analytics = mastering the spreadsheet of everything /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Prescriptive analytics/ by Jeffrey M. Keisler.
Reminder of title:	mastering the spreadsheet of everything /
Author:	Keisler, Jeffrey M.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xxiii, 259 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	1. Modeling -- 2. Sensitivity Analysis -- 3. Indexed Sensitivity Analysis -- 4. Scenario Analysis -- 5. Simulation Analysis -- 6. Customized Input Distributions -- 7. Decision Analysis - Expected Value Maximization -- 8. Decision Analysis - Advanced Topic -- 9. Optimization: Decisions With Constraints -- 10. Optimization: Excel Solver -- 11. Epilogue.
Contained By:	Springer Nature eBook
Subject:	Operations Research and Decision Theory. -
Online resource:	https://doi.org/10.1007/978-3-031-59353-6
ISBN:	9783031593536

Prescriptive analytics = mastering the spreadsheet of everything /
Keisler, Jeffrey M.

Prescriptive analyticsmastering the spreadsheet of everything /[electronic resource] :by Jeffrey M. Keisler. - Cham :Springer Nature Switzerland :2024. - xxiii, 259 p. :ill. (chiefly col.), digital ;24 cm. - Springer texts in business and economics,2192-4341. - Springer texts in business and economics..

1. Modeling -- 2. Sensitivity Analysis -- 3. Indexed Sensitivity Analysis -- 4. Scenario Analysis -- 5. Simulation Analysis -- 6. Customized Input Distributions -- 7. Decision Analysis - Expected Value Maximization -- 8. Decision Analysis - Advanced Topic -- 9. Optimization: Decisions With Constraints -- 10. Optimization: Excel Solver -- 11. Epilogue.

Prescriptive Analytics: Mastering the Spreadsheet of Everything combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics. The material uses only standard Excel spreadsheet features and functions for creating models and then applying sensitivity, scenario, simulation, decision, and optimization analysis. How can we make high quality decisions in an increasingly data-rich but also uncertain and complex world? This book provides the answer, preparing you for the prescriptive analytic future. Gilberto Montibeller, Professor of Operations Management, University of Bristol. An important book. It will be invaluable in entry-level courses in prescriptive analytics and all related fields. Robert Bordley, Director, Systems Engineering and Design Program, University of Michigan Rooted in a rigorous decision framework, one of the most intuitive and accessible journeys into the world of prescriptive analytics. Victor Podinovski, Head of Management Science and Operations Group, Loughborough University A remarkable in-depth treatment of implementing complex analytical formulations using spreadsheets in a simple and accessible way. Ali Abbas, Founding Director of the Neely Center for Ethical Leadership and Decision-Making, University of Southern California A fresh and pragmatic approach to the challenges of developing analytical thinkers - and doers. Students will quickly add useful tools, and they'll start to connect the dots of the bigger picture. Patrick Noonan, Emeritus Professor of Management & Decision Sciences. Emory University This book starts the study of analytics with a simple problem and a few basic Excel formulas, and staying within that framework and emphasizing comprehension, builds up to cover all of the mainstream analytic topics and some very advanced ones as well. Janet Wagner, Founding Dean, School of Business, Stockton University The perfectly illustrated examples, with tips, tricks, and aids to all possible roadblocks a student might encounter, seamlessly take you from zero to master's level skill on mechanics of spreadsheet modeling. Avipsa Acharya (former student), Business Data Analyst, State Street Corp. Professor Keisler's amazing book gives everyone analytics skills for success. Igor Linkov, Senior Scientific and Technical Manager, US Army Corps of Engineers I really wish to congratulate Dr. Keisler on having written such a substantial book. This book gives a very accessible and well-founded introduction to a broad range of analytical techniques for guiding business and engineering decisions. Ahti Salo, Director, Systems Analysis Laboratory, Aalto University.

ISBN: 9783031593536

Standard No.: 10.1007/978-3-031-59353-6doiSubjects--Topical Terms:

3591727
Operations Research and Decision Theory.

LC Class. No.: HD38.7

Dewey Class. No.: 658.4033

Prescriptive analytics = mastering the spreadsheet of everything /
LDR:04250nmm a22003735a 4500 001 2387855
003 DE-He213
005 20240827080224.0
006 m d
007 cr nn 008maaau
008 250916s2024 sz s 0 eng d
020 $a 9783031593536 $q (electronic bk.)
020 $a 9783031593529 $q (paper)
024 7 $a 10.1007/978-3-031-59353-6 $2 doi
035 $a 978-3-031-59353-6
040 $a GP $c GP
041 0 $a eng
050 4 $a HD38.7
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
072 7 $a KJMD $2 thema
082 0 4 $a 658.4033 $2 23
090 $a HD38.7 $b .K27 2024
100 1 $a Keisler, Jeffrey M. $3 3752562
245 1 0 $a Prescriptive analytics $h [electronic resource] : $b mastering the spreadsheet of everything / $c by Jeffrey M. Keisler.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xxiii, 259 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
490 1 $a Springer texts in business and economics, $x 2192-4341
505 0 $a 1. Modeling -- 2. Sensitivity Analysis -- 3. Indexed Sensitivity Analysis -- 4. Scenario Analysis -- 5. Simulation Analysis -- 6. Customized Input Distributions -- 7. Decision Analysis - Expected Value Maximization -- 8. Decision Analysis - Advanced Topic -- 9. Optimization: Decisions With Constraints -- 10. Optimization: Excel Solver -- 11. Epilogue.
520 $a Prescriptive Analytics: Mastering the Spreadsheet of Everything combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics. The material uses only standard Excel spreadsheet features and functions for creating models and then applying sensitivity, scenario, simulation, decision, and optimization analysis. How can we make high quality decisions in an increasingly data-rich but also uncertain and complex world? This book provides the answer, preparing you for the prescriptive analytic future. Gilberto Montibeller, Professor of Operations Management, University of Bristol. An important book. It will be invaluable in entry-level courses in prescriptive analytics and all related fields. Robert Bordley, Director, Systems Engineering and Design Program, University of Michigan Rooted in a rigorous decision framework, one of the most intuitive and accessible journeys into the world of prescriptive analytics. Victor Podinovski, Head of Management Science and Operations Group, Loughborough University A remarkable in-depth treatment of implementing complex analytical formulations using spreadsheets in a simple and accessible way. Ali Abbas, Founding Director of the Neely Center for Ethical Leadership and Decision-Making, University of Southern California A fresh and pragmatic approach to the challenges of developing analytical thinkers - and doers. Students will quickly add useful tools, and they'll start to connect the dots of the bigger picture. Patrick Noonan, Emeritus Professor of Management & Decision Sciences. Emory University This book starts the study of analytics with a simple problem and a few basic Excel formulas, and staying within that framework and emphasizing comprehension, builds up to cover all of the mainstream analytic topics and some very advanced ones as well. Janet Wagner, Founding Dean, School of Business, Stockton University The perfectly illustrated examples, with tips, tricks, and aids to all possible roadblocks a student might encounter, seamlessly take you from zero to master's level skill on mechanics of spreadsheet modeling. Avipsa Acharya (former student), Business Data Analyst, State Street Corp. Professor Keisler's amazing book gives everyone analytics skills for success. Igor Linkov, Senior Scientific and Technical Manager, US Army Corps of Engineers I really wish to congratulate Dr. Keisler on having written such a substantial book. This book gives a very accessible and well-founded introduction to a broad range of analytical techniques for guiding business and engineering decisions. Ahti Salo, Director, Systems Analysis Laboratory, Aalto University.
650 1 4 $a Operations Research and Decision Theory. $3 3591727
650 2 4 $a Business Mathematics. $3 2088824
650 2 4 $a Discrete Optimization. $3 2054320
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Business Analytics. $3 3592362
650 0 $a Business intelligence. $3 669648
650 0 $a Management $x Statistical methods. $3 615393
650 0 $a Decision making $x Statistical methods. $3 750247
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer texts in business and economics. $3 1565849
856 4 0 $u https://doi.org/10.1007/978-3-031-59353-6
950 $a Business and Management (SpringerNature-41169)