Computer-Intensive Methods for Testing Hypotheses

Computer-Intensive Methods for Testing Hypotheses

Author: Eric W. Noreen

Publisher: Wiley-Interscience

ISBN: MINN:31951P001153449

Category: Mathematics

Page: 240

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How to use computer-intensive methods to assess the significance of a statistic in an hypothesis test--for both statisticians and nonstatisticians alike. The significance of almost any test can be assessed using one of the methods presented here, for the techniques given are very general (e.g. virtually every nonparametric statistical test is a special case of one of the methods covered). Programs presented are brief, easy to read, require minimal programming, and can be run on most PC's. They also serve as templates adaptable to a wide range of applications. Includes numerous illustrations of how to apply computer-intensive methods.
Computer-Intensive Methods for Testing Hypotheses
Language: en
Pages: 240
Authors: Eric W. Noreen
Categories: Mathematics
Type: BOOK - Published: 1989-05-02 - Publisher: Wiley-Interscience

How to use computer-intensive methods to assess the significance of a statistic in an hypothesis test--for both statisticians and nonstatisticians alike. The significance of almost any test can be assessed using one of the methods presented here, for the techniques given are very general (e.g. virtually every nonparametric statistical test
Statistics for Research
Language: en
Pages: 629
Authors: Shirley Dowdy, SHIRLEY AUTOR DOWDY, Stanley Wearden
Categories: Mathematics
Type: BOOK - Published: 1991-01-22 - Publisher: Wiley-Interscience

Statistics for Experimenters An Introduction to Design, Data Analysis, and Model Building George E. P. Box, William G. Hunter, and J. Stuart Hunter "The authors are to be congratulated for having written an excellent book. The writing is literate, and the technical aspects impeccable." —Journal of Quality Technology Demonstrates the
Mathematica Laboratories for Mathematical Statistics
Language: en
Pages: 280
Authors: Jenny A. Baglivo
Categories: Mathematics
Type: BOOK - Published: 2005-01-01 - Publisher: SIAM

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
An Introduction to the Bootstrap
Language: en
Pages: 456
Authors: Bradley Efron, R.J. Tibshirani
Categories: Mathematics
Type: BOOK - Published: 1994-05-15 - Publisher: CRC Press

Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the
A Chronicle of Permutation Statistical Methods
Language: en
Pages: 517
Authors: Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Categories: Mathematics
Type: BOOK - Published: 2014-04-11 - Publisher: Springer Science & Business Media

The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the