Add to ORKGRubin's method (Rubin 1981) is applied to construct Bayesian bootstrap confidence intervals for the quantiles of an unknown distribution function. Comparisons with bootstrap percentile confidence intervals are carried out by Monte Carlo experiments relative to an exponential probability distribution with an unknown shift parameter
this paper is to examine how (ii) can be addressed via the bootstrap approach [Efron 1979; L'eg...
A collection of six novel bootstrap algorithms, applied to probability-proportional-to-size samples,...
In studies in which a binary response for each subject is observed, the success probability and func...
Rubin's method (Rubin 1981) is applied to construct Bayesian bootstrap confidence intervals for the ...
An extension of Monte Carlo methods to confidence interval estimation, using the bootstrap technique...
In 1981 Rubin introduced the Bayesian bootstrap and argued that it was the natural Bayesian analogue...
A bootstrap method for generating confidence intervals in linear models is suggested. The method is ...
International audienceThe problem of building bootstrap confidence intervals for small probabilities...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
International audienceThe problem of building bootstrap confidence intervals for small probabilities...
International audienceThe problem of building bootstrap confidence intervals for small probabilities...
International audienceThe problem of building bootstrap confidence intervals for small probabilities...
This paper presents a new random weighting method for confidence interval estimation for the sample ...
Quantiles and percentiles represent useful statistical tools for describing the distribution of resu...
binomial-error model, Efron's bootstraps, Bayesian bootstrap, parametric empirical Bayes bootstrap,
this paper is to examine how (ii) can be addressed via the bootstrap approach [Efron 1979; L'eg...
A collection of six novel bootstrap algorithms, applied to probability-proportional-to-size samples,...
In studies in which a binary response for each subject is observed, the success probability and func...
Rubin's method (Rubin 1981) is applied to construct Bayesian bootstrap confidence intervals for the ...
An extension of Monte Carlo methods to confidence interval estimation, using the bootstrap technique...
In 1981 Rubin introduced the Bayesian bootstrap and argued that it was the natural Bayesian analogue...
A bootstrap method for generating confidence intervals in linear models is suggested. The method is ...
International audienceThe problem of building bootstrap confidence intervals for small probabilities...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
International audienceThe problem of building bootstrap confidence intervals for small probabilities...
International audienceThe problem of building bootstrap confidence intervals for small probabilities...
International audienceThe problem of building bootstrap confidence intervals for small probabilities...
This paper presents a new random weighting method for confidence interval estimation for the sample ...
Quantiles and percentiles represent useful statistical tools for describing the distribution of resu...
binomial-error model, Efron's bootstraps, Bayesian bootstrap, parametric empirical Bayes bootstrap,
this paper is to examine how (ii) can be addressed via the bootstrap approach [Efron 1979; L'eg...
A collection of six novel bootstrap algorithms, applied to probability-proportional-to-size samples,...
In studies in which a binary response for each subject is observed, the success probability and func...