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The Transformation of a Truncated Poisson Distribution
Mathematical Tables and Other Aids to Computation, 1956Abstract 1. Several authors have given methods for the estimation of the parameter of a truncated Poisson distribution. Tippett (1932) gave the maximum likelihood equation, which is difficult to solve, together with a nomogram to aid the solution. Approximate methods have been suggested by Moore (1952, 1954), Plackett (1953) and Rider (1953).
C. C. C., P. G. Moore
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Truncated Poisson Distributions
Journal of the American Statistical Association, 1953Abstract This paper gives a method of estimating the parameter of a Poisson distribution which has been truncated at the lower end. Application is made to a number of actual examples.
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Generalized poisson distribution on groups
Journal of Soviet Mathematics, 1983Let X be a locally compact Abelian separable metric group, \(e(F)=\exp\{- F(X)\}(E_ 0+F+((F^{*2}/2!)+...)\) be the generalized Poisson distribution associated with a finite measure F and \(I_ 0\) be a class of distributions without indecomposable or idempotent divisors. Theorem 1.
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Improvements in the Poisson approximation of mixed Poisson distributions
Journal of Statistical Planning and Inference, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Two inequalities for poisson distributions
Scandinavian Actuarial Journal, 1963Abstract In this paper we are going to use the following terminology: the distribution function F 1(x) dominates the distribution function F 2(x) if F 1{x)⩾F 2(x) for all x.
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Estimation for the Bivariate Poisson Distribution
Biometrika, 1964This paper is concerned with the estimation of the covariance parameter of the bivariate Poisson distribution. It is shown that the method of moments has low efficiency for distributions with appreciable correlation, and an iterative method of solving the likelihood equation is described.
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