Nature

Log-ratio type estimation for the finite population mean under simple random sampling without replacement with theory, simulation and application

We propose two novel logarithmic ratio–type estimators for the finite-population mean under simple random sampling without replacement (SRSWOR). The estimators integrate a logarithmic transformation ...
JSTOR Daily

On Comparisons of With and Without Replacement Sampling Strategies for Estimating Finite Population Mean in Randomized Response Surveys

Sankhyā: The Indian Journal of Statistics, Series B (2008-), Vol. 78, No. 1 (May 2016), pp. 66-77 (12 pages) We consider the problem of unbiased estimation of a finite population mean (or proportion) ...
Nature

Improvement in variance estimation using transformed auxiliary variable under simple random sampling

Sampling is a crucial aspect of making well-informed decisions in various real-life domains. Inferences about statistical populations or data are drawn from samples, and it is imperative that a sample ...
Kellogg School of Management

Two Technical Details

(1) Simple random sampling is usually done without replacement (so there is no chance of the same individual appearing twice in the sample). In this case, there is a ...