On Statistical Inference of Stratified Population Mean with Bootstrap

Bootstrap Statistical Inference for the Variance Based on Fuzzy Data

Abstract: The bootstrap is a simple and straightforward method for calculating approximated biases, standard deviations, confidence intervals, testing statistical hypotheses, and so forth, in almost any nonparametric estimation problem. In this paper we describe a bootstrap method for variance that is designed directly for hypothesis testing in case of fuzzy data based on Yao-Wu signed distance.

on some bayesian statistical models in actuarial science with emphasis on claim count

چکیده ندارد.

Procrustean statistical inference of deformations

A two step method has been devised for the statistical inference of deformation changes. In the first step of this method and based on Procrustes analysis of deformation tensors, the significance of the change in a time or space series of deformation tensors is statistically analyzed. In the second step significant change(s) in deformations are localized. In other words, they are assigned to ce...

Inferences about the Population Mean: Empirical Likelihood versus Bootstrap-t

Statistical Inference for Measures of Inequality With a Cross-National Bootstrap Application

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