rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Introduction to business analytics using simulation
  name:
    name part: Pinder, Jonathan
    name part: 1986-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    place:
      place term: Amsterdam
    publisher: Academic Press
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report, and analyze business data Describes how to use and apply business analytics software Includes 50 caselettes, quizzes for each exercise set, a quiz generator spreadsheet, and a sample syllabus.
  table of contents: 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.
  table of contents: 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.
  table of contents: 3.2 -- Properties of decision trees3.2.1 -- Linear Transforms; 3.3 -- Overview of the decision making process; 3.4 -- Sensitivity analysis; 3.5 -- Expected value of perfect information; 3.6 -- Summary of the decision analysis process; Chapter 4 -- Probability: measuring uncertainty; Introduction; 4.1 -- Probability: measuring likelihood; 4.2 -- Probability distributions; 4.3 -- General probability rules; 4.4 -- Conditional probability and Bayes' theorem; Further exercises: common interview questions regarding probability; Chapter 5 -- Subjective Probability Distributions; Introduction.
  table of contents: 5.1 -- Subjective probability distributions-probability from€experience5.2 -- Two-point estimation: uniform distribution; 5.2.1 -- Discrete Uniform Distribution; 5.3 -- Three-point estimation: triangular distribution; 5.3.1 -- Simulating a Symmetric Triangular Distribution; 5.3.2 -- Simulating an Asymmetric Triangular Distribution; 5.4 -- Five-point estimates for subjective probability distributions; 5.4.1 -- Simulating a Five-Point Distribution; 5.4.2 -- Other Estimates for Subjective Probability Distributions; Chapter 6 -- Empirical probability distributions; Introduction.
  table of contents: 6.1 -- Empirical probability distributions-probability from data6.2 -- Discrete empirical probability distributions; 6.3 -- Continuous empirical probability distributions; Chapter 7 -- Theoretical probability distributions; Introduction; 7.1 -- Theoretical/classical probability; 7.2 -- Review of notation for probability distributions; 7.3 -- Discrete theoretical distributions; 7.3.1 -- Uniform Distribution; 7.3.2 -- Discrete Uniform Distribution; 7.3.3 -- Continuous Uniform Distribution; 7.3.4 -- Bernoulli Distribution; 7.3.5 -- Binomial Distribution; 7.3.6 -- Poisson distribution.
  table of contents: 7.4 -- Continuous probability distributions.
  note: Jonathan P. Pinder.
  note: Includes index.
  subject:
    topic: Business intelligence
  subject:
    topic: Business
    topic: Computer simulation
  subject:
    topic: Industrial management
    topic: Statistical methods
  subject:
    topic: Affaires
    topic: Simulation par ordinateur
  subject:
    topic: Gestion d'entreprise
    topic: Méthodes statistiques
  subject:
    topic: BUSINESS & ECONOMICS
    topic: Industrial Management
  subject:
    topic: BUSINESS & ECONOMICS
    topic: Management Science
  subject:
    topic: Business
    topic: Computer simulation
  subject:
    topic: Business intelligence
  subject:
    topic: Industrial management
    topic: Statistical methods
  classification: HD38.7
  classification: 658.4/72
  related item:
    title info:
      title: Introduction to business analytics using simulation
    name:
      name part: Pinder, Jonathan, 1986-
    origin info:
      publisher: Amsterdam : Academic Press, 2016
    identifier: (OCoLC)945564367
  identifier: 9780128104866
  identifier: 0128104864
  identifier: 0128104848
  identifier: 9780128104842
  identifier: ABE0FF5C-C916-417F-B3C7-B9DD1818BC36 OverDrive, Inc.
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 160908
    record change date: 20260327150822.4
    record identifier: in00005760761
    language of cataloging:
      language term: eng