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Business analytics : methods, models, and decisions / James R. Evans, University of Cincinnati.

By: Evans, James R. (James Robert), 1950-Material type: TextTextPublisher: Boston : Pearson, [2016]Copyright date: 2013Edition: Second EditionDescription: xxvi, 626 pages ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780321997821 (alk. paper)Subject(s): Business planning | Strategic planning | Industrial management -- Statistical methodsDDC classification: 658.4/01 LOC classification: HD30.28 | .Ev1 2016
Contents:
Preface -- About the author -- Foundations of business analytics -- Introduction to business analytics -- Analytics on spreadsheets -- Descriptive analytics -- Visualizing and exploring data -- Descriptive statistical measures -- Probability distributions and data modeling -- Sampling and estimation -- Statistical inference -- Predictive analytics -- Predictive modeling and analysis -- Regression analysis -- Forecasting techniques -- Simulation and risk analysis -- Introduction to data mining -- Prescriptive analytics -- Linear optimization -- Applications of linear optimization -- Integer optimization -- Nonlinear and non-smooth optimization -- Optimization models with uncertainty -- Making decision -- Decision analysis -- Appendix A -- Appendix B -- Glossary -- Index.
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AAMUSTED Books AAMUSTED Books AAMUSTED LIBRARY, KUMASI
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HD30.28 .Ev1 2016 (Browse shelf(Opens below)) 1 Available (Restricted Access) 0000008413

Includes bibliographical references and index.

Preface -- About the author -- Foundations of business analytics -- Introduction to business analytics -- Analytics on spreadsheets -- Descriptive analytics -- Visualizing and exploring data -- Descriptive statistical measures -- Probability distributions and data modeling -- Sampling and estimation -- Statistical inference -- Predictive analytics -- Predictive modeling and analysis -- Regression analysis -- Forecasting techniques -- Simulation and risk analysis -- Introduction to data mining -- Prescriptive analytics -- Linear optimization -- Applications of linear optimization -- Integer optimization -- Nonlinear and non-smooth optimization -- Optimization models with uncertainty -- Making decision -- Decision analysis -- Appendix A -- Appendix B -- Glossary -- Index.

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