Distribution-Free Statistical Methods, Second Edition
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A01=J.S. Maritz
advanced nonparametric statistical techniques
Author_J.S. Maritz
biomedical data analysis
Category=JMB
Category=PBT
Conditional Expectations
Conditional Joint Distribution
Conditional Null Distribution
Confidence Region
Distribution Free Methods
Distribution Function
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Exact Conditional Distributions
Exact Confidence Interval
Exact Joint Confidence Region
Exact Joint Distribution
Exact Null Distribution
Hodges Lehmann Estimate
hypothesis testing methods
Joint Confidence Region
Joint Null Distribution
Location Shift Parameters
nonparametric inference
Null Distribution
Pairwise Slopes
Pitman Asymptotic Relative Efficiency
rank-based tests
regression analysis statistics
robust estimation
Sample Interquartile Range
Sample Median
Straight Line Regression
Theil's Statistic
Unconditional Standard Error
Wilcoxon Rank Sum Statistic
Wilcoxon Signed Rank Statistic
Product details
- ISBN 9780412552601
- Weight: 390g
- Dimensions: 138 x 216mm
- Publication Date: 01 Apr 1995
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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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.
Johannes Maritz is professor in the Department of Statistics , University of Stellenbosch, South Africa.
