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Mean squared error
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#	Item
261	Jackknifing Stock Return Predictions Add to Reading List Source URL: www.federalreserve.gov Language: English - Date: 2008-06-20 10:57:32 Econometrics Statistical inference Parametric statistics Linear regression Ordinary least squares Resampling Estimator Bias of an estimator Mean squared error Statistics Estimation theory Regression analysis
262	The Probability Approach to Default Probabilities Add to Reading List Source URL: www.occ.treas.gov Language: English - Date: 2014-08-03 08:50:03 Statistical inference Maximum likelihood Bayes estimator Bias of an estimator Estimator Point estimation Median Probability interpretations Mean squared error Statistics Estimation theory Statistical theory
263	Evaluating Design Choices in Economic Capital Modeling: A Loss Function Approach Add to Reading List Source URL: www.occ.treas.gov Language: English - Date: 2014-08-03 08:47:47 Financial risk Estimation theory Statistical theory Actuarial science Investment Loss given default Bias of an estimator Mean squared error Estimator Statistics Economics Financial economics
264	Microsoft Word - TR_NOS_CS_30_FY11_05_Tampa Bay Operational Forecast System_Eugene_final.docx Add to Reading List Source URL: tidesandcurrents.noaa.gov Language: English - Date: 2014-01-08 09:41:52 Navigation Tides Hindcast Weather prediction Root-mean-square deviation Forecasting Errors and residuals in statistics Mean squared error Statistics Statistical forecasting Physical oceanography
265	C:uments and Settingst2000al Settingspotes.DatahAssess031103.wpd Add to Reading List Source URL: www.census.gov Language: English - Date: 2003-03-14 14:36:14 Estimation theory Sampling Scientific method Estimator Census Mean squared error Statistics Statistical inference Survey methodology
266	Board of Governors of the Federal Reserve System International Finance Discussion Papers Number 1060 November[removed]Nonparametric HAC Estimation for Add to Reading List Source URL: www.federalreserve.gov Language: English - Date: 2012-11-09 14:20:15 Statistical theory Signal processing Regression analysis Autocorrelation Estimator Newey–West estimator Consistent estimator Mean squared error Variance Statistics Estimation theory Statistical inference
267	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
268	An Empirical Best Linear Unbiased Prediction Approach to Small-Area Estimation of Crop Parameters Michael E. Bellow and Partha S. Lahiri National Agricultural Statistics Service, 3251 Old Lee Hwy., Fairfax, VA[removed]JPSM Add to Reading List Source URL: www.nass.usda.gov Language: English - Date: 2011-10-11 09:53:26 Estimator Mean squared error Small area estimation Maximum likelihood Bootstrapping Resampling Regression analysis Simple linear regression Statistics Estimation theory Statistical inference
269	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
270	Empirical Bayes Methodology for the NASS County Estimation Program Michael E. Bellow, USDA-NASS Partha Lahiri, University of Maryland, College Park ABSTRACT In this paper, we consider an empirical Bayes method for combin Add to Reading List Source URL: www.nass.usda.gov Language: English - Date: 2011-12-19 08:50:06 Regression analysis Econometrics Statistical theory Estimator Instrumental variable Maximum likelihood Resampling Mean squared error Linear regression Statistics Estimation theory Statistical inference

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