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 ...
In biological and medical research, the cost and collateral damage caused during the collection and measurement of a sample are the reasons behind a compromise on the ...
A principal component analysis of a correlation matrix treats all variables as equally important. A principal component analysis of a covariance matrix gives more weight to variables with larger ...
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