Uniformly Minimum Variance Unbiased Estimation for the Inverse Gaussian Distribution
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Publication:3317894
DOI10.2307/2288135zbMath0534.62014OpenAlexW4247365613MaRDI QIDQ3317894
Publication date: 1983
Full work available at URL: https://doi.org/10.2307/2288135
hypergeometric functioninverse Gaussian distributionuniformly minimum variance unbiased estimationcumulant
Estimation in multivariate analysis (62H12) Point estimation (62F10) Classical hypergeometric functions, ({}_2F_1) (33C05)
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Estimation of the mean and the reciprocal of the mean of the inverse Gaussian distribution ⋮ Minimum risk scale equivariant estimator: estimating the mean of an inverse gaussian distribution with known coefficient of variation ⋮ A U-statistic and estimation for the inverse Gaussian distribution ⋮ Linear regression through the origin with constant coefficient of variation for the inverse gaussian distribution ⋮ Estimation of a common mean of several univariate inverse Gaussian populations ⋮ Inadmissibility of the uniformly minimum variance unbiased estimator of the inverse gaussian variance ⋮ Estimation of the reciprocal of the mean of the Inverse Gaussian distribution with prior information ⋮ Inadmissibility of the maximum likelihood estimator of the inverse Gaussian mean ⋮ Unbiased estimation of distribution densities of sufficient statistics of the inverse Gaussian distribution ⋮ Bayes estimation in the case of the inverse Gaussian distribution ⋮ A comparison of various estimators of the mean of an inverse gaussian distribution
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