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Jackknife resampling
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21	An Overview of Calibration Weighting and the Delete-a-Group Jackknife Phillip S. Kott Outline NASS Applications Add to Reading List Source URL: www.nass.usda.gov Language: English - Date: 2013-12-19 15:16:11 Statistical theory Regression analysis Resampling Estimator Bias of an estimator Mean squared error Orders of magnitude Sampling Efficiency Statistics Statistical inference Estimation theory
22	SSC Annual Meeting, June 1997 Proceedings of the Survey Research Section A (PARTIALLY) MODEL-BASED LOOK AT JACKKNIFE VARIANCE ESTIMATION WITH TWO-PHASE SAMPLES Phillip S. Kott 1 Add to Reading List Source URL: www.nass.usda.gov Language: English - Date: 2010-12-22 12:14:36 Statistical theory Regression analysis Least squares Resampling Bias of an estimator Variance Estimator Mean squared error Linear regression Statistics Estimation theory Statistical inference
23	Evaluating the Asymptotic Limits of the Delete-a-Group Jackknife for Model Analyses Phillip S. Kott and Steven T. Garren The delete-a-group jackknife can be effectively used when estimating the variances of statistics ba Add to Reading List Source URL: www.nass.usda.gov Language: English - Date: 2011-02-08 14:55:31 Variance Sample size determination Normal distribution Least squares Estimation theory Bias of an estimator Estimator Statistics Statistical inference Resampling
24	Jackknife and Bootstrap Resampling Methods in Statistical Analysis to Correct for Bias Peter Young Add to Reading List Source URL: physics.ucsc.edu Language: English - Date: 2010-08-06 01:22:53 Summary statistics Estimation theory Covariance and correlation Resampling Bootstrapping Variance Bias of an estimator Normal distribution Standard deviation Statistics Statistical inference Data analysis
25	8 Error analysis: jackknife & bootstrap As discussed before, it is no problem to calculate the expectation values and statistical error estimates of “normal” observables from Monte Carlo. However, often we have to Add to Reading List Source URL: cc.oulu.fi Language: English - Date: 2007-11-05 15:08:58 Non-parametric statistics Statistical tests Covariance and correlation Resampling Bootstrapping Propagation of uncertainty Standard error Variance Ising model Statistics Statistical inference Data analysis

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