MSA University library

Your cart is empty.
35986841_10216840653711318_1105697261150535680_n

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

By: Evans, James R. (James Robert)
Material type: TextTextPublisher: Boston : Pearson Central Pub., ℗♭2013Edition: 5th edDescription: xxiii, 528 pages : illustrations ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780132744287; 0132744287Subject(s): Industrial management -- Statistical methods | Statistical decisionDDC classification: 658.403 LOC classification: HD30.215 | .E93 2013HD30.215 | .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
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Call number Status Date due Barcode
Books Books Centeral Library
First floor - Management 		658.403 E.J.S 2013 (Browse shelf) 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

There are no comments on this title.

to post a comment.