Kernel estimation of probability density functions is considered when ranked-set samples are available. The properties of the resulting estimators are derived for small and large samples, while performance with respect to the usual simple random sample estimators is investigated for a range of probability density models. Copyright © 2002 by Marcel Dekker, Inc.
Barabesi, L., Fattorini, L. (2002). Kernel estimators of probability density functions by ranked-set sampling. COMMUNICATIONS IN STATISTICS. THEORY AND METHODS, 31(4), 597-610 [10.1081/STA-120003136].
Kernel estimators of probability density functions by ranked-set sampling
Barabesi, Lucio;Fattorini, Lorenzo
2002-01-01
Abstract
Kernel estimation of probability density functions is considered when ranked-set samples are available. The properties of the resulting estimators are derived for small and large samples, while performance with respect to the usual simple random sample estimators is investigated for a range of probability density models. Copyright © 2002 by Marcel Dekker, Inc.
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https://hdl.handle.net/11365/2852
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