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Mean squared error
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161	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: 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
162	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: 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
163	RANDOM POINTS LEWIS GRAHAM Accurately Speaking… Table 1 – Vertical Accuracy Absolute Accuracy Add to Reading List Source URL: www.lidarnews.com Language: English - Date: 2014-09-29 09:50:00 Statistical theory Surveying LIDAR Robotic sensing Root-mean-square deviation Photogrammetry Mean squared error Errors and residuals in statistics Accuracy and precision Statistics Measurement Geodesy
164	NUMBERSOF FEMALES ESTIMATING WITHCUBS-OF-THE-YEAR INTHE YELLOWSTONE GRIZZLY Add to Reading List Source URL: www.bearbiology.com Language: English - Date: 2009-08-13 07:16:20 Statistical theory Data analysis M-estimators Bias of an estimator Bootstrapping Mean squared error Maximum likelihood Variance Resampling Statistics Estimation theory Statistical inference
165	A Bayesian Zero-One Inflated Beta Model for Small Area Shrinkage Estimation ∗ Jerzy Wieczorek† Ciara Nugent Add to Reading List Source URL: civilstat.com Language: English - Date: 2012-09-30 17:08:55 Econometrics Parametric statistics Actuarial science Logistic regression Mean squared error Least squares Empirical Bayes method Estimator Errors and residuals in statistics Statistics Regression analysis Estimation theory
166	PDF Document Add to Reading List Source URL: nass.usda.gov Language: English - Date: 2011-02-08 14:55:50 Monte Carlo methods Statistical theory Resampling Bias of an estimator Estimator Variance Mean squared error Sampling Normal distribution Statistics Statistical inference Estimation theory
167	Most Likely Heteroscedastic Gaussian Process Regression Kristian Kersting [removed] CSAIL, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA, [removed], USA Christian Plagemann Add to Reading List Source URL: www.service-robotik-initiative.de Language: English - Date: 2007-11-05 10:05:33 Estimation theory Parametric statistics Time series analysis Linear regression Heteroscedasticity Homoscedasticity Mean squared error Errors and residuals in statistics Least squares Statistics Regression analysis Econometrics
168	RUHR ECONOMIC PAPERS Nolan Ritter Colin Vance Add to Reading List Source URL: www.rwi-essen.de Language: English - Date: 2011-09-09 05:09:05 Estimation theory Econometrics Least squares Variance Mean squared error Explained variation Coefficient of determination Allan variance Statistics Regression analysis Data analysis
169	Applied/Computational Ph.D. Exam August 19, [removed]Consider a univariate t-distribution tν (µ, σ 2 ) with an unknown center µ, an unknown scale parameter σ, and a known degree of freedom ν(> 0). Suppose one is int Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2011-09-06 11:51:13 Normal distribution Loss function T-statistic Mean squared error Statistics Estimation theory Bayes estimator
170	Conflict Management and Peace Science http://cmp.sagepub.com/ The Phantom Menace of Omitted Variables : A Comment Colin Vance and Nolan Ritter Add to Reading List Source URL: www.rwi-essen.de Language: English - Date: 2013-04-04 09:34:33 Covariance and correlation Econometrics Estimation theory Variance Explained variation Correlation and dependence Mean squared error Omitted-variable bias Normal distribution Statistics Regression analysis Data analysis

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