# Questions tagged [jackknife]

The jackknife is one of several resampling methods (see also bootstrap). In the jackknife, one (or sometimes more) points from the data are deleted in each resample.

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### Using the jackknife method in permutation tests

We aim to employ a permutation test to evaluate the significance of the relationship between two datasets using Sparse Canonical Correlation Analysis (SCCA) for a specific level of sparsity. To ...
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### When using jackknife to calculate cluster-robust standard errors, is centering at the full-sample estimator superior vs the mean of pseudovalues?

Basing on the paper here: https://users.ssc.wisc.edu/~bhansen/papers/tcauchy.html both estimators suffer from the risk of downward bias. The paper defines the estimator of variance centering at the ...
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### pseudo-values for time-variant covariates

I have the following time-varying survival data: ID Start Stop Group Z event 1 0 8 1 0 false 2 0 5 0 0 false 2 5 8 0 1 true 3 0 3 1 0 false 3 3 12 1 1 true I want to calculate the Jackknife ...
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### Why does the jackknife reduce bias? [duplicate]

Given a sample $x = (x_1, \ldots, x_n)$, define $x_{(-i)}$ as the sample values excluding sample $x_i$. That is, $$x_{(-i)} = (x_1, \ldots, x_{i-1}, x_{i+1}, \ldots x_n).$$ Now given estimator $T(x)$...
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### How to do bootstrap resampling when the clusters are correlated

I have a dataset with 14 clusters, and within each cluster it's time series data with some autocorrealtion. It is decision dataset of a group of 14 subjects. The clusters are also suspected to be ...
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### Is the jackknife estimate parametric or non-parametric?

The jackknife is often described as non-parametric, and not relying on distributional assumptions. For example: https://blogs.sas.com/content/iml/2017/06/21/jackknife-estimate-standard-error-sas.html ...
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### Comparison of the jacknife vs the bootstrap

I am interested in understanding the relative pros and cons of bootstrap versus jacknife resampling. Both are used in iterative algorithmic approaches to estimating the precision of a prediction or ...
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### Tests for comparing correlation values. The winner is?

The question is relatively simple, but trivial. I have data divided by one fixed effect (Emotion, with 2 conditions: A and B), and I have a covariate, for each of my 20 subjects. My aim is to 1) ...
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### How can bootstrap be used to establish confidence intervals for Theil regression parameters?

In References for methods for calculating the confidence interval for Theil-Sen Estimator, we note that Wilcox (1998, 2009?) proposed the use of bootstrap as a method for finding confidence intervals ...
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### Is the Jackknife estimation better than Maximum Likelihood Estimator?

I'm trying to estimate distribution parameters with Maximum Likelihood Estimator (MLE) and Jackknife estimator based on it. The estimation statistic is mean. Jackknife estimator is considered to be ...
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### Statistical analysis of random variable with finite mean and infinite variance

Given a measurement that (we know from theory) has a finite expected value, but infinite variance, is it possible to have some statistical information? Can I get the significance of such data? Can ...
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### What sample size is necessary to jackknife estimate variance of large dataset?

So I'm working on a project and I wrote a java library that I can use to perform feature ranking and Naive Bayes classification on data sets. I wrote and tested the library on small data sets so I ...
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### Resampling to subset (jackknife) or bootstrap for survival analysis

This is a question regarding survival analysis and bootstrap: Suppose I have a time-to-event dataset with 1000 subjects, and based on this dataset I can obtain some measures or plots (not standard, o....
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### Why is backward elimination justified when doing multiple regression?

Does it not result in over-fitting? Would my results be more reliable if I added a jack-knife or bootstrap procedure as a part of the analysis?
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### Jackknife vs. LOOCV

Is there really any difference between the jackknife and leave one out cross validation? The procedure seems identical am I missing something?
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### jackknifing blocks (*not* time series)

I have the following problem. There are 50 subjects. Each subject does a block of 100 trials. At the end I want to compute a complicated statistic s() on the data x. Now I want to be able to compute ...
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### How to program the deleted d-jack-knife

I have a dataset containing 45 observations. I want to sample times from this dataset, but with sample size equal to 35 each time. So each time I want to delete 10 datapoints from the original dataset....
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### Are there any contemporary uses of jackknifing?

The question: Bootstrapping is superior to jackknifing; however, I am wondering if there are instances where jackknifing is the only or at least a viable option for characterizing uncertainty from ...
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I'm working on calculating bootstrap confidence intervals for Weir & Cokerham's Fst. I want to use the percentile-t method as described in this paper. I'm calculating the $F_{st}$ value between ...