Weighted discrepancies and maximum likelihood estimation for discrete distributions

DOI10.1080/03610928608829151zbMath0604.62020OpenAlexW1969887451MaRDI QIDQ3740804

Adrienne W. Kemp

Publication date: 1986

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928608829151

zbMATH Keywords

maximum likelihoodempirical characteristic functiondiscrete distributionsmethod of momentsnegative binomialhyper-Poissonscoring proceduresminimum discrimination informationminimum chi-squarelogarithmic distributionweighted discrepany estimation

Mathematics Subject Classification ID

Point estimation (62F10)

Related Items (6)

Type I multivariate zero-inflated Poisson distribution with applications ⋮ Estimation of generalized poisson distribution ⋮ Modeling Under- and Over-Dispersion Usingq-Analogues of the Poisson Distribution ⋮ Analysis of zero-adjusted count data ⋮ Estimation of Parameters in Gaussian Hypergeometric Distributions ⋮ Gaussian Hypergeometric Probability Distributions for Fitting Discrete Data

Cites Work

• Pseudo maximum likelihood estimation: Theory and applications
• Certain properties of the generalized power series distribution
• Estimating the Parameters of a Convolution by Maximum Likelihood
• Three Classes of Univariate Discrete Distributions
• A family of discrete distributions defined via their factorial moments
• Even Point Estimation and Moment Estimation in Hermite Distribution
• Estimation in Univariate and Multivariate Stable Distributions
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