The degrees of freedom of a variance estimator in a probability sample is popular PDF and ePub book, written by Phillip S. Kott in 2020-08-17, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, The degrees of freedom of a variance estimator in a probability sample can be Read Online from any device for your convenience.
The degrees of freedom of a variance estimator in a probability sample Book PDF Summary
Inferences from probability-sampling theory (more commonly called “design-based sampling theory”) often rely on the asymptotic normality of nearly unbiased estimators. When constructing a two-sided confidence interval for a mean, the ad hoc practice of determining the degrees of freedom of a probability-sampling variance estimator by subtracting the number of its variance strata from the number of variance primary sampling units (PSUs) can be justified by making usually untenable assumptions about the PSUs. We will investigate the effectiveness of this conventional and an alternative method for determining the effective degrees of freedom of a probability-sampling variance estimator under a stratified cluster sample.
Detail Book of The degrees of freedom of a variance estimator in a probability sample PDF
- Author : Phillip S. Kott
- Release : 17 August 2020
- Publisher : RTI Press
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 12 pages
- Language : English
- PDF File Size : 19,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book The degrees of freedom of a variance estimator in a probability sample by Phillip S. Kott, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.