one_one: Select a one-one sampling

In bootstrapFP: Bootstrap Algorithms for Finite Population Inference

Select a one-one sampling

Description

A one-one sampling is a design for which the random variables Sk, representing the number of times unit k is included in the sample, have expectation and variance equal to 1. Proposed by Antal and Tille' (2011, 2014).

Usage

one_one(n, method = c("doubled-half", "over-replacement"))

Arguments

n	integer, the sample size
method	algorithm to be used, either doubled half sampling or srs with over-replacement. See the Details section.

Details

Antal and Tillé proposed two procedures that lead to one-one samplings. The first one (Antal and Tillé, 2011a) in more complex and makes use of a simple random Sampling with over-replacement (Antal and Tillé, 2011b), and it is called by setting method = "over-replacement". The second one (Antal and Tillé, 2014) is the doubled half sampling, which is simpler and quickier to compute, and can employed by setting method = "doubled-half"; this is the default option.

Value

an integer vector of size n, indicating how many times each unit is present in the sample

bootstrapFP documentation built on July 4, 2024, 1:10 a.m.