Jackknife

Overview


The jackknife is a resampling technique whereby the original sample has a single observation removed, then the statistic of interest is computed. Next the observation is replaced in the dataset, and a new observation removed. This process is continued until each observation has been removed once. At the end of the process, the analyst has n different estimates of the desired statistic.

Topics


Simple Implementation


the jackknife runs by creating a set of samples where one sample is removed from each sample. This can be accomplished using just the $list api (without the resample library) as follows. 


let data = [1,2,3,4,5,6,7,8,9];
for(let index=0;index<data.length;index++){
  let data2 = $list(data).removeA(index).items						
}
Try it!

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