Minimum variance unbiased estimation for modified power series distribution

DOI10.1080/03610928008827957zbMath0439.62021OpenAlexW1995921917MaRDI QIDQ3881720

P. C. Consul, Ashish Kumar

Publication date: 1980

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

Full work available at URL: https://doi.org/10.1080/03610928008827957

zbMATH Keywords

modified power series distributiontruncated distributionLagrangian distributionsMVUELagrange expansionminimum variance unbiased estimatorsunknown truncation point

Mathematics Subject Classification ID

Point estimation (62F10) Series expansions (e.g., Taylor, Lidstone series, but not Fourier series) (41A58)

Related Items

Maximum likelihood estimation for the generalized poisson distribution, Testing for homogeneity: the generalized poisson distribution, Bayesian Analysis of a Generalized Poisson Distribution, On the differences of two generalized negative binomial variates, Confidence interval estimation in the class of modified power series distributions, Generalized poisson regression for positive count data, Power series generalized nonlinear models, Some Chance Mechanisms Related to a Generalized Poisson Probability Model, Geeta distribution and its properties, Maximum likelihood estimation for the generalized poisson distribution when sample mean is larger than sample variance, Unnamed Item, Minimum variance unbiased estimation for the lagrange power series distributions

Cites Work

• Distribution of the sum of independent generalized logarithmic series variables
• The distributions of sufficient statistics of truncated generalized logarithmic series, poisson and negative binomial distributions
• Minimum variance unbiased estimation in a modified power series distribution and some of its applications
• Use of Lagrange Expansion for Generating Discrete Generalized Probability Distributions
• A Generalized Negative Binomial Distribution
• Some interesting properties of lagrangian distributions
• A logarithmic series type distribution
• THE DELAY TO PEDESTRIANS CROSSING A ROAD
• Sufficient Statistics and Selection Depending on the Parameter