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What is Empirical Distribution Function

Encyclopedia of Business Analytics and Optimization
The cumulative distribution function (cdf) associated with the empirical observations of the sample. The empirical distribution function estimates the true underlying cdf of the sample.
Published in Chapter:
Order Statistics in Simulation
E Jack Chen (BASF Corporation, USA)
Copyright: © 2014 |Pages: 12
DOI: 10.4018/978-1-4666-5202-6.ch156
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 computer simulation, e.g., tests of independence, tests of goodness of fit, hypothesis tests of equivalence of means, ranking and selection, and quantiles estimation. These order-statistics techniques are key components of many simulation studies.
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Order Statistics and Applications
The cumulative distribution function (cdf) associated with the empirical observations of the sample. The empirical distribution function estimates the true underlying cdf of the sample.
Full Text Chapter Download: US $37.50 Add to Cart
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