Mathematica laboratories for mathematical statistics : emphasizing simulation and computer intensive methods /

Mathematica laboratories for mathematical statistics : emphasizing simulation and computer intensive methods /

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Bibliographic Details
Author / Creator:	Baglivo, Jenny A. (Jenny Antoinette)
Imprint:	Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2005.
Description:	1 online resource (xx, 260 pages) : illustrations.
Language:	English
Series:	ASA-SIAM series on statistics and applied probability ; 14 ASA-SIAM series on statistics and applied probability ; 14.
Subject:	Mathematica (Computer file) Mathematica (Computer file) Mathematical statistics -- Computer simulation. Mathematical statistics -- Computer simulation
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12577216

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Other authors / contributors:	American Statistical Association. Society for Industrial and Applied Mathematics.
ISBN:	9780898718416 0898718414 0898715660 9780898715668
Notes:	Title from title screen, viewed 10/20/2010. Includes bibliographical references (pages 241-249) and index. Also available in print version. English. Title page of print version.
Summary:	Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with those using alternative techniques. This text presents a concise introduction to the concepts of probability theory and mathematical statistics. The accompanying in-class and take-home computer laboratory activities reinforce the techniques introduced in the text and are accessible to students with little or no experience with Mathematica. These laboratory materials present applications in a variety of real-world settings, with data from epidemiology, environmental sciences, medicine, social sciences, physical sciences, manufacturing, engineering, marketing, and sports. Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods includes parametric, nonparametric, permutation, bootstrap and diagnostic methods. Chapters on permutation and bootstrap techniques follow the formal inference chapters and precede the chapters on intermediate-level topics. Permutation and bootstrap methods are discussed side by side with classical methods in the later chapters.
Other form:	Print version: Baglivo, Jenny A. (Jenny Antoinette). Mathematica laboratories for mathematical statistics. Philadelphia, Pa. : Society for Industrial and Applied Mathematics ; Alexandria, Va. : American Statistical Association, ©2005 0898715660
Publisher's no.:	SA14 siam