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 ...
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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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Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon The original Article has been corrected.
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