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, the acceleration component probability distribution function at Rλ =690 to probabilities of less than 10−7 was presented, which is an improvement of more than an order of magnitude over past measurements and allows us to conclude that the fourth moment converges and the flatness is approximately 55.
251 citations
TL;DR: A stochastic approach for modeling insect development based on a single, temperature-independent distribution of normalized development times, which can be used in population models to distribute cohort development through time under variable temperature conditions.
Abstract: We describe a stochastic approach for modeling insect development based on a single, temperature-independent distribution of normalized development times. We review other stochastic approaches, as well as problems encountered in modeling distributions of development time. A computer program, assembled from the Statistical Analysis System library, constructs cumulative probability distributions from frequency data on insect development times. These data are obtained from constant temperature experiments. The computer program normalizes the times of these distributions on their median time, identifies a single empirical distribution representative of all normalized distributions, and fits a cumulative Weibull function to this standard curve. The program determines the starting values of the three Weibull parameters and computes least-square estimates of these parameters using Marquardt techniques. This normalized probability function was tested against 23 data sets with good results, and can be used in population models to distribute cohort development through time under variable temperature conditions.
245 citations
TL;DR: In this paper, a class of probability distributions resulting from a compound Poisson process was found to correlate well with amplitude distributions of radar clutter returns spatially sampled from composite terrain, which is specified by several physical and statistical parameters in its complete generality.
Abstract: A novel class of probability distributions resulting from a compound Poisson process is found to correlate well with amplitude distributions of radar clutter returns spatially sampled from composite terrain. This class of distributions, derived from assumptions of random scattering phase and Poisson spatial distribution of elementary scattering sources, is specified by several physical and statistical parameters in its complete generality. These parameters are: 1) the number of scatterer types; 2) the average radar scattering cross section and the cross-sectional distribution of each different scatterer type; 3) the occurrence probability or the average scatterer size and spatial density; 4) the radar resolution area; and 5) the average background radiation as well as the radar internal noise power. Excellent fits of the theoretical clutter distributions to the measurement data are obtained by assuming a Rayleigh amplitude distribution for the elementary scatterer return for high grazing angle cases and a more general K -distribution for low grazing angle cases.
242 citations