On predicting the finite population distribution function

Heleno Bolfarine and Mônica C. Sandoval

Statistics & Probability Letters, 1994, vol. 19, issue 4, 339-347

Abstract: In this article, we consider the optimal prediction of the finite population distribution function under general linear regression models with normally distributed errors. Emphasis is placed on the case where the error variance is unknown. Large sample approximations to the prediction variance of the optimal predictors are also derived.

Keywords: Asymptotic; relative; efficiency; best; unbiased; predictor; prediction; variance; regression; model; total; sufficiency (search for similar items in EconPapers)
Date: 1994
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