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International Journal of Mathematics and Statistics Studies Vol.1, No.3, pp. 2937, September 2013 Published by European Center for Research Training and Development UK (www.eajournals.org)COMPARISON
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The comparison of jackknife is a statistical technique used for estimating the precision of sample statistics by systematically leaving out one observation at a time from the sample set and calculating the estimate over n-1 observations.
Researchers and statisticians who are conducting studies that involve sample data analysis and need to report on the variability and reliability of their estimates may be required to use and file a comparison of jackknife.
To fill out a comparison of jackknife, start by collecting your sample data, then systematically exclude each observation one at a time, calculate the statistic of interest for each subset, and document the results to analyze the variation.
The purpose of comparison of jackknife is to assess the stability and reliability of statistical estimates derived from sample data, helping to identify how much influence individual data points have on the overall results.
The information that must be reported includes the sample statistics calculated for each jackknife replication, the overall estimate, the mean and standard error of the estimates, and any conclusions drawn from the analysis.
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