Distribution-Free Statistical Methods, Second Edition

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CRC Press, Apr 1, 1995 - Mathematics - 256 pages
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Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question. They are widely used, especially in the areas of medical and psychological research.
This new edition is aimed at senior undergraduate and graduate level. It also includes a discussion of new techniques that have arisen as a result of improvements in statistical computing. Interest in estimation techniques has particularly grown, and this section of the book has been expanded accordingly. Finally, Distribution-Free Statistical Methods includes more examples with actual data sets appearing in the text.
 

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Contents

Basic concepts in distributionfree methods 1125578
xii
Onesample location problems
21
CONTENTS ix
63
Miscellaneous onesample problems
76
Twosample problems
79
Straight line regression
119
Multiple regression and general linear models
165
Bivariate problems
205
Miscellaneous complements
231
References
249
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About the author (1995)

Johannes Maritz is professor in the Department of Statistics, University of Stellenbosch, South Africa.

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