0 5 6 Estimateur bootstrap param etrique de l'erreur- standard Une petite introduction 3 bootstrap echantillons copies X X *2 *1 X *B X X *1 *2 S( ) S ( )
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[PDF] Introduction to the Bootstrap - Harvard Medical School
The bootstrap is defined in Chapter 6, for estimating the stan- dard error of a statistic from a single sample The bootstrap stan- dard error estimate is a plug-in estimate that rarely can be com- puted exactly; instead a simulation ("resampling") method is used for approximating it
[PDF] An Introduction to the Bootstrap
Introduction to the Bootstrap Bradley Efron Department of Statistics Stanford University and Robert J Tibshirani Department of Preventative Medicine and
[PDF] Introduction au bootstrap
1 Introduction La motivation du bootstrap 1 (Efron, 1982 ; Efron et Tibshirani, 1993) est d'approcher par simulation (Monte Carlo) la distribution d'un estimateur
[PDF] An Introduction to Bootstrap
The bootstrap is a computer- based method of statistical inference that can answer many real statistical questions without formulas Our goal in this book is to arm
[PDF] UNE INTRODUCTION AU BOOTSTRAP
0 5 6 Estimateur bootstrap param etrique de l'erreur- standard Une petite introduction 3 bootstrap echantillons copies X X *2 *1 X *B X X *1 *2 S( ) S ( )
[PDF] Introduction to the Bootstrap
1 jui 2003 · A modern alternative to the traditional ap- proach is the bootstrapping method, introduced by Efron (1979) The bootstrap is a computer- intensive
[PDF] INTRODUCTION TO THE BOOTSTRAP Suppose we - MIT Math
INTRODUCTION TO THE BOOTSTRAP 2 requires altogether Rn i i d samples from a given Pn and, to find the sampling distribution of a functional T(PB
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