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Best linear unbiased estimators of population variance in successive sampling
Model Assisted Statistics and Applications, 2012In present work, best linear unbiased estimators have been proposed to estimate the population variance on current occasion in two-occasion successive (rotation) sampling. Optimum replacement policies of the proposed estimators are discussed. Results are supported with the suitable empirical studies.
Singh, G.N., Prasad, S., Majhi, D.
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A Characterization of Best Linear Unbiased Estimators in the General Linear Model
1980A characterization of best linear unbiased estimators is given in the case of the general linear model. In addition necessary and sufficient conditions are derived for a given estimable function to have a best linear unbiased estimator. In particular models for which each estimable function has a best linear unbiased estimator are characterized.
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The evolving landscape of salivary gland tumors
Ca-A Cancer Journal for Clinicians, 2023Conor Steuer
exaly
Best linear P-unbiased estimators for a one-equation model
1973In this chapter the best linear P-unbiased estimators for a model consisting of one equation and any given covariance matrix will be derived.
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When is an Expectile the Best Linear Unbiased Estimator?
SSRN Electronic Journal, 2021openaire +1 more source