The maximum likelihood estimators of the parameters of the gamma distribution are always positively biased

DOI10.1080/03610928108828067zbMath0467.62022OpenAlexW2023852846MaRDI QIDQ3920432

No author found.

Publication date: 1981

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

Full work available at URL: https://doi.org/10.1080/03610928108828067

zbMATH Keywords

conditional maximum likelihood estimatorpositive bias

Mathematics Subject Classification ID

Point estimation (62F10)

Related Items (9)

Properties of estimators for the gamma distribution ⋮ The conditional maximum likelihood estimator of the shape parameter in the gamma distribution ⋮ Estimation for renewal processes with unobservable gamma or Erlang interarrival times ⋮ Incorporating the stochastic process setup in parameter estimation ⋮ On second-order admissibilities of the estimators of gamma shape vector ⋮ Maximum likelihood estimation for the Erlang integer parameter ⋮ Reducing bias of the maximum likelihood estimator of shape parameter for the gamma distribution ⋮ On second-order improved estimation of a gamma scale parameter ⋮ On improved estimation of a gamma shape parameter

This page was built for publication: The maximum likelihood estimators of the parameters of the gamma distribution are always positively biased