Estimation in mixtures of poisson and mixtures of exponential distributions
Estimation in mixtures of Poisson and mixtures of exponential distributions
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Estimation in mixtures of Poisson and mixtures of exponential distributions
Estimating parameters of mixed distribution consisting of two Poisson components for statistical analysis of atmospheric data
Discrete probability law obtained by assuming Poisson variable parameter is distributed according to half-normal probability law
Numerical integration of Poisson equation for computer simulated plasma
Interpolation of Poisson equation by method adjusting equations to insure existence of discrete solution
Optimum demodulator for poisson processes is determined for signal processing of photon radiation
Coding schemes for data based on Poisson functions
Solutions to Poisson equation and applicability to problems of electrical breakdown due to low pressure gaseous environment
Application of multivariate extended Poisson distributions
Huffman minimum redundancy coding extension to run-length information based on Poisson distribution, including optimization and data compression applications
M-ary detection for optical communication investigated for maximum likelihood detection of one of M Poisson processes in background noise
Estimation in truncated Poisson distributions with concomitant exposure intervals and truncation points
Poisson shot noise process relationship with continuous stochastic intensity as sample function
Techniques for manipulation of long Poisson series also used for SPASM
Numerical method and FORTRAN program for solving Poisson's equation over axisymmetric regions of spherical body
A probability model is presented for the distribution of thunderstorms over a small area given that thunderstorm events (1 or more thunderstorms) are occurring over a larger area. The model incorporates the negative binomial and truncated Poisson distributions. Probability tables for Cape Kennedy for spring, summer, and fall months and seasons are presented. The computer program used to compute these probabilities is appended.
An expression is developed that makes possible the prediction of Poisson's ratio for unidirectional composites with reference to any pair of orthogonal axes that are normal to the direction of the reinforcing fibers. This prediction appears to be a reasonable one in that it follows the trends of the finite element analysis and the bounding estimates, and has the correct limiting value for zero fiber content. It can only be expected to apply to composites containing stiff, circular, isotropic fibers bonded to a soft matrix material.
The design of a working Poisson series processor system is described that is more general than those currently in use. This system is the result of a series of compromises among efficiency, generality, ease of programing, and ease of use. The most general form of coefficients that can be multiplied efficiently is pointed out, and the place of general-purpose algebraic systems in celestial mechanics is discussed.