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 ...
This example uses the Customers data set from the section "Getting Started". The data set Customers contains an Internet service provider's current subscribers, and the service provider wants to ...
In many practical scenarios, estimating population variance is a crucial task with wide-ranging applications, spanning various domains including finance, healthcare, and weather forecasting. Actuaries ...
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