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Prescriptive Analytics (Record no. 62708)

MARC details
000 -LEADER
fixed length control field 05519nam a22006375i 4500
001 - CONTROL NUMBER
control field 978-3-031-59353-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030112910.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240825s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031593536
-- 978-3-031-59353-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-59353-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number T57.6-.97
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJMD
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS049000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJT
Source thema
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJMD
Source thema
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Keisler, Jeffrey M.
Relator term author.
Authority record control number (orcid)0000-0002-9267-2327
-- https://orcid.org/0000-0002-9267-2327
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 82844
245 10 - TITLE STATEMENT
Title Prescriptive Analytics
Medium [electronic resource] :
Remainder of title Mastering the Spreadsheet of Everything /
Statement of responsibility, etc. by Jeffrey M. Keisler.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XXIII, 259 p. 427 illus., 153 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Springer Texts in Business and Economics,
International Standard Serial Number 2192-4341
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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 ## - SUMMARY, ETC.
Summary, etc. 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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57943
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 65522
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57216
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 66910
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Data processing.
9 (RLIN) 59544
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 67143
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 73079
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57216
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 66912
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 66186
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031593529
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031593543
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031593550
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Springer Texts in Business and Economics,
International Standard Serial Number 2192-4341
9 (RLIN) 69742
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-59353-6">https://doi.org/10.1007/978-3-031-59353-6</a>
912 ## -
-- ZDB-2-BUM
912 ## -
-- ZDB-2-SXBM

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