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Statistics, data analysis, and decision modeling / James R. Evans

By: Material type: TextTextPublication details: Boston : Pearson Central Pub., ℗♭2013Edition: 5th edDescription: xxiii, 528 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780132744287
  • 0132744287
Subject(s): DDC classification:
  • 658.403
LOC classification:
  • HD30.215 .E93 2013
  • HD30.215 .E93 2013
Contents:
Data and business decisions -- Descriptive statistics and data analysis -- Probability concepts and distributions -- Sampling and estimation -- Hypothesis testing and statistical inference -- Regression analysis -- Forecasting -- Introduction to statistical quality control -- Decision modeling and analysis -- Decision models with uncertainty and risk -- Decisions, uncertainty, and risk -- Queues and process simulation modeling -- Linear optimization -- Integer, nonlinear, and advanced optimization methods
Summary: Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans' dedication to present material in a simple and straightforward fashion is ideal for comprehension
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Centeral Library First floor - Management 658.403 E.J.S 2013 (Browse shelf(Opens below)) Available 21515

Includes bibliographical references and index

Data and business decisions -- Descriptive statistics and data analysis -- Probability concepts and distributions -- Sampling and estimation -- Hypothesis testing and statistical inference -- Regression analysis -- Forecasting -- Introduction to statistical quality control -- Decision modeling and analysis -- Decision models with uncertainty and risk -- Decisions, uncertainty, and risk -- Queues and process simulation modeling -- Linear optimization -- Integer, nonlinear, and advanced optimization methods

Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans' dedication to present material in a simple and straightforward fashion is ideal for comprehension

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