Details

Subject(s)

• Mathematical statistics—Computer simulation [Browse]
• Mathematica (Computer file) [Browse]

Related name

• Society for Industrial and Applied Mathematics [Browse]

Series

• ASA-SIAM series on statistics and applied probability ; 14. [More in this series]
• ASA-SIAM series on statistics and applied probability ; 14 [More in this series]

Summary note

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.

Notes

Bibliographic Level Mode of Issuance: Monograph

Bibliographic references

Includes bibliographical references (p. 241-249) and index.

System details

• Mode of access: World Wide Web.
• System requirements: Adobe Acrobat Reader.

Source of description

• Title from title screen, viewed 10/20/2010.
• Description based on title page of print version.

Language note

English

Contents

• Preface
• Chapter 1: Introductory Probability Concepts
• Chapter 2: Discrete Probability Distributions
• Chapter 3: Continuous Probability Distributions
• Chapter 4: Mathematical Expectation
• Chapter 5: Limit Theorems
• Chapter 6: Transition to Statistics
• Chapter 7: Estimation Theory
• Chapter 8: Hypothesis Testing Theory
• Chapter 9: Order Statistics and Quantiles
• Chapter 10: Two Sample Analysis
• Chapter 11: Permutation Analysis
• Chapter 12: Bootstrap Analysis
• Chapter 13: Multiple Sample Analysis
• Chapter 14: Linear Least Squares Analysis
• Chapter 15: Contingency Table Analysis
• Bibliography
• Index.

Show 15 more Contents items

Other format(s)

Also available in print version.

ISBN

0-89871-841-4

Publisher no.

SA14

Siam

• SA14

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