Implementing jacknife method

I need to use a jacknife method in order to find the standard deviation of my data. Howvere, I realise there's no built-in fuction (or maybe I couldn't find it), not even a general bootstrap method.

Is there any built-in function or where I can find some reference in order to make it efficent?

Thanks

• StandardDeviation[data] ? – Mariusz Iwaniuk Jun 19 '18 at 9:34
• I know that function, but I must use (as a requirement) a bootstrap method. – MatMorPau22 Jun 19 '18 at 9:36
• replace each observation with the mean of the sample that excludes that observation: data2 = Mean /@ Subsets[data, {Length[data] - 1}] then use StandardDeviation on the new dataset: StandardDeviation[data2]? – kglr Jun 19 '18 at 9:39
• The jackknife estimate of the standard error of the sample mean is just the usual estimate of standard deviation divided by the square root of the sample size: StandardDeviation[data]/Sqrt[Length[data]]. So you'll need to be more specific than the "standard deviation of my data". What particular statistic are you interested in using the jackknife? Mean? Variance? the square of the mean? – JimB Jun 19 '18 at 16:25