Topic
K-distribution
About: K-distribution is a research topic. Over the lifetime, 1281 publications have been published within this topic receiving 51774 citations.
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TL;DR: In this article, a form of compound distribution is proposed to describe the non-Rayleigh distribution and correlation properties of high-resolution radar sea clutter and a possible physical mechanism is discussed.
Abstract: A proposed form of compound distribution to describe the non-Rayleigh distribution and correlation properties of high resolution radar sea clutter is shown to be a good fit to experimental data. From this model the K distribution is derived, and a possible physical mechanism is discussed.
401 citations
TL;DR: In this article, a comparison is made of several definitions of ordered sets of distributions, some of which were introduced earlier by the author [7], [8] and by Rubin [10], and the results are applied to obtaining tests that give a certain guaranteed power with a minimum number of observations.
Abstract: A comparison is made of several definitions of ordered sets of distributions, some of which were introduced earlier by the author [7], [8] and by Rubin [10]. These definitions attempt to make precise the intuitive notion that large values of the parameter which labels the distributions go together with large values of the random variables themselves. Of the various definitions discussed the combination of two, (B) and (C) of Section 2, appears to be statistically most meaningful. In Section 3 it is shown that this ordering implies monotonicity for the power function of sequential probability ratio tests. In Section 4 the results are applied to obtaining tests that give a certain guaranteed power with a minimum number of observations. Finally, in Section 5, certain consequences are derived regarding the comparability of experiments in the sense of Blackwell [1].
397 citations
TL;DR: In this paper, a meta-elliptical distribution is proposed, which has the same Kendall's rank correlation coefficient as meta-Gaussian distributions, and the corresponding analytic forms of the density, conditional distribution functions, and dependence properties are derived.
386 citations
373 citations
Book•
06 Aug 1992
TL;DR: In this paper, the authors provide a systematic account of the theory of generalized Gamma convolutions and related classes of probability distributions and densities, and several well-known probability distributions are treated in the accompanying examples.
Abstract: The aim of this monograph is to provide a systematic account of the theory of generalized Gamma convolutions and related classes of probability distributions and densities. Several well-known probability distributions are treated in the accompanying examples.
349 citations