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Jackknife resampling
Results: 25

#	Item
11	Discussion paper[removed]SPLIT-PANEL JACKKNIFE ESTIMATION OF FIXED-EFFECT MODELS Add to Reading List Source URL: econ.sciences-po.fr Language: English - Date: 2014-01-28 05:26:29 Statistical theory Maximum likelihood Estimator Consistent estimator Resampling Point estimation Efficiency Efficient estimator Fisher consistency Statistics Estimation theory Statistical inference
12	ESTIMATION METHOD 9: Cumulative Distribution Function and Variance for Proportion of a Finite Population; Parametric Jackknife Estimator 1 Scope and Application An important aspect of environmental statistics is to measu Add to Reading List Source URL: www.epa.gov Language: English - Date: 2011-04-06 12:35:32 Econometrics Sampling Data analysis Resampling Estimator Variance Normal distribution Linear regression Sample size determination Statistics Statistical inference Estimation theory
13	USING THE DELETE-A-GROUP JACKKNIFE VARIANCE ESTIMATOR IN NASS SURVEYS, by Phillip S. Kott, Research Division, National Agricultural Statistics Service, U.S. Department of Agriculture, Washington, DC, March 1998, NASS Res Add to Reading List Source URL: www.nass.usda.gov Language: English - Date: 2010-12-22 12:14:39 Estimation theory Market research Resampling Sample size determination Variance Stratified sampling Estimator Cluster sampling Linear regression Statistics Sampling Statistical inference
14	Contract No.: MPR Reference No.: [removed]500 Add to Reading List Source URL: www.tricare.mil Language: English - Date: 2004-01-20 16:57:55 Healthcare in the United States TRICARE Medicare Jackknife Statistics Statistical inference Resampling
15	Jackknife empirical likelihood confidence interval for medical cost with censored observation Jenny Jeyarajah and Gengsheng Qin Georgia State University In cost-effectiveness study of treatments, the motivation is often Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-29 14:12:30 Resampling Censoring Estimator Confidence interval Theil–Sen estimator Bootstrapping Statistics Statistical inference Estimation theory
16	Jackknife empirical likelihood for the accelerated failure time model using Kendall’s rank and Gehan estimating equation Maxime Bouadoumou and Dr. Yichuan Zhao Department of Mathematics and Statistics, Georgia State Un Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 16:01:00 Resampling Sample size determination Confidence interval Coverage probability Estimation theory Normal distribution Statistics Statistical inference Estimating equations
17	Jackknife Empirical Likelihood for Estimating Variance in Nonparametric Regression Models Yuan Liu1, Yichuan Zhao1 1Mathematics and Statistics, Georgia State University, Atlanta, GA, United States. I. Summary Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 16:17:22 Statistical inference Econometrics Non-parametric statistics Resampling Linear regression Estimator Least squares Mean squared error Nonparametric regression Statistics Regression analysis Estimation theory
18	ISSUES RELATING TO THE USE OF JACKKNIFE METHODS IN Add to Reading List Source URL: www.cdc.gov Language: English - Date: 2010-11-17 10:55:38 Survey methodology Resampling Balanced repeated replication Survey sampling Bootstrapping Variance Standard error Stratified sampling Estimator Statistics Sampling Statistical inference
19	Poisson Sampling, Regression Estimation, and the Delete-a-Group Jackknife Phillip S. Kott )))))))))))))))))))))))))))))))))))))))))))))))))))))))))) When coupled with the simple expansion estimator, Poisson sampling lea Add to Reading List Source URL: www.nass.usda.gov Language: English - Date: 2010-12-22 12:14:37 Statistical theory Econometrics Statistical tests Estimator Resampling Variance Bias of an estimator Mean squared error Efficiency Statistics Statistical inference Estimation theory
20	Using the DAG Jackknife to Measure the Variance of an Estimator in the Presence of Item Nonresponse Darcy Miller1, Phillip Kott2 1 National Agricultural Statistics Service, 3251 Old Lee Highway, Fairfax, VA 20002 Add to Reading List Source URL: www.nass.usda.gov Language: English - Date: 2011-10-11 09:48:36 Sampling Estimation theory Monte Carlo methods Resampling Imputation Estimator Variance Balanced repeated replication Mean squared error Statistics Statistical inference Data analysis