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Debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization
Annals of Statistics, 2021Ting Ye, Jun Shao, Hyunseung Kang
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Technometrics, 1965
A general procedure is found for constructing good unbiased linear estimators of the location and scale parameters of a distribution for use with an uncensored sample of size n. It is presupposed that the coefficients of the best linear estimates are available for an uncensored sample of size m < n for the distribution under investigation.
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A general procedure is found for constructing good unbiased linear estimators of the location and scale parameters of a distribution for use with an uncensored sample of size n. It is presupposed that the coefficients of the best linear estimates are available for an uncensored sample of size m < n for the distribution under investigation.
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A new adjusted Liu estimator for the Poisson regression model
Concurrency Computation Practice and Experience, 2021Muhammad Amin +2 more
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On Best Linear Unbiased Estimation in the Restricted General Linear Model
Statistics, 1987Cui Hengjian, Sun Guowen, Yang Wenli
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Dawoud–Kibria Estimator for Beta Regression Model: Simulation and Application
Frontiers in Applied Mathematics and Statistics, 2022Mohamed R Abonazel +2 more
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A New Two-Parameter Estimator for Beta Regression Model: Method, Simulation, and Application
Frontiers in Applied Mathematics and Statistics, 2022Mohamed R Abonazel +1 more
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Modified ridge‐type estimator to combat multicollinearity: Application to chemical data
Journal of Chemometrics, 2019Adewale F Lukman
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Some asymptotic properties of the linearized maximum likelihood estimate and best linear unbiased estimate [PDF]
Annals of the Institute of Statistical Mathematics, 1971 openaire +1 more source