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Introduction to Business Analytics Using Simulation

Autor Jonathan P. Pinder
en Limba Engleză Paperback – 30 aug 2016
"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 do not know what will happen in the future but must make decisions, it 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, "Introduction to Business Analytics Using Simulation "provides a better foundation for business analytics than standard introductory business analytics books. Students gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics.
Teaches how managers use business analytics to formulate and solve business problems and to support managerial decision makingExplains the processes needed to develop, report, and analyze business dataDescribes how to use and apply business analytics softwareIncludes 50 caselettes, quizzes for each exercise set, a quiz generator spreadsheet, and a sample syllabus.
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Specificații

ISBN-13: 9780128104842
ISBN-10: 0128104848
Pagini: 448
Dimensiuni: 191 x 235 x 23 mm
Greutate: 0.91 kg
Editura: ELSEVIER SCIENCE

Public țintă

Upper-division undergraduates and graduate students worldwide working on business decision-making. Prerequisite: statistics.

Cuprins

1. Business analytics is making decisions 2. Decision-making and simulation 3. Decision Trees 4. Probability: measuring uncertainty 5. Subjective Probability Distributions 6. Empirical probability distributions 7. Theoretical probability distributions 8. Simulation accuracy: central limit theorem and sampling 9. Simulation fit and significance: chi-square and ANOVA 10. Regression 11. Forecasting


Recenzii

"This book provides a novel, intuitive approach to teaching uncertainty and simulation modeling that should appeal to a wide variety of management science, analytics, and statistics professors."--Wayne L. Winston, University of Indiana
"Business analytics are and will remain essential in every industry sector. To understand basic concepts and solve complex problems are skills necessary for any economist and engineer, among others.  Introduction to Business Analytics using Simulation is the perfect textbook for learning these skills."--Fausto Pedro Garcia Marquez, Universidad de Castilla-La Mancha

Descriere

"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 do not know what will happen in the future but must make decisions, it 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, "Introduction to Business Analytics Using Simulation "provides a better foundation for business analytics than standard introductory business analytics books. Students gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics.
Teaches how managers use business analytics to formulate and solve business problems and to support managerial decision makingExplains the processes needed to develop, report, and analyze business dataDescribes how to use and apply business analytics softwareIncludes 50 caselettes, quizzes for each exercise set, a quiz generator spreadsheet, and a sample syllabus.