A minimum discrimination information estimator of preliminary conjectured normal variance
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Publication:1260709
DOI10.1007/BF00773673zbMath0772.62002OpenAlexW2091620941MaRDI QIDQ1260709
Hea-Jung Kim, D. V. Gokhale, Kôichi Inada
Publication date: 25 August 1993
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf00773673
preliminary testprior informationminimum discrimination informationminimax criterionnormal varianceKullback-Leibler discrimination information measureMDI estimatormean square error efficiencypreliminary conjectureshrinkage type estimator
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Cites Work
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- Improved estimation of the disturbance variance in a linear regression model
- Estimating a bounded normal mean
- Minimax estimation of the mean of a normal distribution when the parameter space is restricted
- Estimation of variance after a preliminary test of homogeneity and optimal levels of significance for the pre-test
- Estimation of the variance in a normal population after the one-sided pre-test for the mean
- Mean square error and efficiency of the least squares estimator over interval constraints
- Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
- M31. Least squares solutions over interval restrictions
- The minimum discrimination information approach in analyzing categorical data
- On Information and Sufficiency
- On Biases in Estimation Due to the Use of Preliminary Tests of Significance
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