generalised: Generalised Bootstrap

In bootstrapFP: Bootstrap Algorithms for Finite Population Inference

Generalised Bootstrap

Description

Compute bootstrap estimates according to Generalised Bootstrap procedure by Beaumont and Patak (2012)

Usage

generalised(
  ys,
  pks,
  B,
  distribution = c("uniform", "normal", "exponential", "lognormal")
)

Arguments

ys	values of the variable of interest for the original sample
pks	inclusion probabilities for units in the sample
B	integer scalar, number of bootstrap resamples to draw from the pseudo-population
distribution	the distribution from which to generate the weights adjustments. One of uniform, normal or lognormal.

Value

a list of two elements, a vector of K average bootstrap totals and a vector of K variance estimates.

References

Bertail, P., & Combris, P. (1997). Bootstrap généralisé d'un sondage. Annales d'Economie et de Statistique, 49-83.

Beaumont, J. F., & Patak, Z. (2012). On the generalized bootstrap for sample surveys with special attention to Poisson sampling. International Statistical Review, 80(1), 127-148.

bootstrapFP documentation built on Sept. 3, 2023, 1:08 a.m.