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Article | 06-July-2017

SMALL AREA PREDICTION UNDER ALTERNATIVE MODEL SPECIFICATIONS

parametric bootstrap procedure is proposed for the mean squared error of the predictor based on a logit model. The proposed bootstrap procedure has smaller bootstrap error than a classical double bootstrap procedure with the same number of samples.

Andreea L. Erciulescu, Wayne A. Fuller

Statistics in Transition New Series, Volume 17 , ISSUE 1, 9–24

Research Article | 01-June-2020

On the choice of the number of Monte Carlo iterations and bootstrap replicates in Empirical Best Prediction

Empirical Best Predictors (EBPs) are widely used for small area estimation purposes. In the case of longitudinal surveys, this class of predictors can be used to predict any given population or subpopulation characteristic for any time period, including future periods. Generally, the value of an EBP is computed by means of Monte Carlo algorithms, while its MSE is usually estimated using the parametric bootstrap method. Model-based simulation studies of the properties of the predictors require

Adam Chwila, Tomasz Żądło

Statistics in Transition New Series, Volume 21 , ISSUE 2, 35–60

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