A Comparison of n Estimators for the Binomial Distribution
From MaRDI portal
Publication:3925702
DOI10.2307/2287523zbMath0472.62037OpenAlexW4241166030MaRDI QIDQ3925702
James V. Zidek, Ingram Olkin, A. John Petkau
Publication date: 1981
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2287523
Related Items (27)
Admissible and minimax estimation of the parameter \(n\) in the binomial distribution ⋮ A Review of the Use of Conditional Likelihood in Capture-Recapture Experiments ⋮ On a hyperbinomial process ⋮ The reliability of a test procedure for identifying defective components ⋮ Integer-parameter estimation in discrete distributions ⋮ Estimation of Parameter n of the Binomial Distribution ⋮ Estimating with incomplete count data: A Bayesian approach ⋮ On the ML-estimator of the positive and negative two-parameter binomial distribution ⋮ Confidence Bounds For The Binomial N Parameter: A Classical Approach ⋮ Analysis of one-way layout of count data in the presence of over or under dispersion ⋮ Maximum likelihood estimation for the Erlang integer parameter ⋮ Integrated likelihood methods for eliminating nuisance parameters. (With comments and a rejoinder). ⋮ Estimating the integer mean of a normal model related to binomial distribution ⋮ Chain Binomial Models and Binomial Autoregressive Processes ⋮ Estimation of binomial parameters when both \(n\), \(p\) are unknown ⋮ On maximum likelihood estimation of the binomial parameter n ⋮ Models for Estimating Abundance from Repeated Counts of an Open Metapopulation ⋮ Estimating the number of motor units using random sums with independently thinned terms ⋮ Empirical bayes estimation of the binomial parameter n ⋮ Hierarchical Spatiotemporal Matrix Models for Characterizing Invasions ⋮ Dose Finding Using the Biased Coin Up-and-Down Design and Isotonic Regression ⋮ Erlang mixture distribution with application on COVID-19 cases in Egypt ⋮ Bayes and Empirical Bayes Estimation of the Parameternin a Binomial Distribution ⋮ Posterior analysis of \(n\) in the binomial \((n,p)\) problem with both parameters unknown -- with applications to quantitative nanoscopy ⋮ Joint modeling of distances and times in point-count surveys ⋮ GMM tests for the Katz family of distributions ⋮ Sufficient conditions for unimodality of the positive binomial likelihood function
This page was built for publication: A Comparison of n Estimators for the Binomial Distribution