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What is Tests of Independence

Encyclopedia of Information Science and Technology, Fourth Edition
Statistical null hypothesis tests to determine whether sequences of observations appear to be independent.
Published in Chapter:
Order Statistics and Applications
E. Jack Chen (BASF Corporation, USA)
Copyright: © 2018 |Pages: 13
DOI: 10.4018/978-1-5225-2255-3.ch162
Abstract
Order statistics refer to the collection of sample observations sorted in ascending order and are among the most fundamental tools in non-parametric statistics and inference. Statistical inference established based on order statistics assumes nothing stronger than continuity of the cumulative distribution function of the population and is simple and broadly applicable. We discuss how order statistics are applied in statistical analysis, e.g., tests of independence, tests of goodness of fit, hypothesis tests of equivalence of means, ranking and selection, and quantile estimation. These order-statistics techniques are key components of many studies.
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Order Statistics in Simulation
Statistical null hypothesis tests to determine whether sequences of observations appear to be independent.
Full Text Chapter Download: US $37.50 Add to Cart
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