Public access from Oct 1, 2019
Consortium of Swiss Academic Libraries

A new resampling method for sampling designs without replacement: the doubled half bootstrap

Antal, Erika ; Tillé, Yves

In: Computational Statistics, 2014, vol. 29, no. 5, p. 1345-1363

Université de Neuchâtel

A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population

Antal, Erika ; Tillé, Yves

In: Journal of the American Statistical Association, 2011, vol. 106, no. 494, p. 534-543

In complex designs, classical bootstrap methods result in a biased variance estimator when the sampling design is not taken into account. Resampled units are usually rescaled or weighted in order to achieve unbiasedness in the linear case. In the present article, we propose novel resampling methods that may be directly applied to variance estimation. These methods consist of selecting...

Université de Neuchâtel

A new resampling method for sampling designs without replacement: the doubled half bootstrap

Antal, Erika ; Tillé, Yves

In: Computational Statistics, 2014, vol. 29, no. 5, p. 1345-1363

A new and very fast method of bootstrap for sampling without replacement from a finite population is proposed. This method can be used to estimate the variance in sampling with unequal inclusion probabilities and does not require artificial populations or utilization of bootstrap weights. The bootstrap samples are directly selected from the original sample. The bootstrap procedure contains two...

Université de Neuchâtel

Simple random sampling with over-replacement

Antal, Erika ; Tillé, Yves

In: Journal of Statistical Planning and Inference, 2011, vol. 141, no. 1, p. 597–601

There are several ways to select units with replacement and an equal inclusion expectation. We present a new sampling design called simple random sampling with over-replacement. Its interest lies in the high variance produced for the Horvitz–Thompson estimator. This characteristic could be useful for resampling methods.