Introduction to business analytics using simulation

by Pinder, Jonathan

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Title Statements

Full title :Introduction to business analytics using simulation / Jonathan P. Pinder, School of Business Wake Forest University Winston-Salem, NC, United States.

Edition Statements

Publication Date:©2017

Publication Statements

Publisher(s):Academic Press is an imprint of Elsevier
Place of Publication:London
Language:eng
Publication Date:©2017

The Physical Object

Description:1 online resource (xiii, 434 pages) : : illustrations.

Edition Identifiers

ISBN:0128104864, 9780128104866, 9780128104842, 0128104848
oclc:ocn993688946
LC Classification:HD38.7
Dewey Decimal:658.4/72

Cover ; Title Page; Copyright Page; Contents; Preface; Acknowledgments; Chapter 1 -- Business analytics is making decisions; Introduction; 1.1 -- Business Analytics is making decisions subject to uncertainty; 1.2 -- Components of Business Analytics; 1.3 -- Uncertainty¡=¡probability¡=¡stochastic; 1.4 -- What is simulation?; 1.4.1 -- Why Use Simulation?; 1.4.2 -- Simulation Applications; 1.5 -- Monte Carlo simulation and random variables; 1.6 -- Simulation terminology; 1.7 -- Probability as relative frequency; 1.8 -- Overview of simulation process; 1.9 -- Random number generation in Excel.

1.10 -- Extra practiceChapter 2 -- Decision-making and simulation; Introduction; 2.1 -- Introduction to decision-making; 2.1.1 -- Define the Problem; 2.1.2 -- Identify and Weight the Criteria; 2.1.3 -- Generate Alternatives; 2.1.4 -- Evaluate Each Alternative; 2.1.5 -- Compute the Optimal Decision; 2.2 -- Probability: the measure of uncertainty; 2.3 -- Where do the probabilities come from?; 2.4 -- Elements of probability; 2.5 -- Probability notation; 2.6 -- Examples of simulation and decision-making; Chapter 3 -- Decision Trees; Introduction; 3.1 -- Decision trees and expected value.

3.2 -- Prop…

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