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Point estimation
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#	Item
161	Face Alignment through Subspace Constrained Mean-Shifts Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA {jsaragih,slucey,jeffcohn}@cs.cmu.edu Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2009-08-11 11:11:01 Econometrics Regression analysis Statistical models Point distribution model Generalized method of moments Least squares Kernel density estimation Gaussian function KDE Statistics Estimation theory Mathematical optimization
162	Multiple Linear Regression Simple Linear Regression Regression equation for a line (population): y = β 0 + β 1x +  β0 : point where the line intercepts y-axis Add to Reading List Source URL: www.howardsei.org Language: English - Date: 2014-09-04 13:29:58 Estimation theory Parametric statistics Covariance and correlation Linear regression Partial correlation Least squares Simple linear regression Variance Correlation and dependence Statistics Regression analysis Econometrics
163	APPLICATIONS OF THE POINT ESTIMATION METHOD FOR STOCHASTIC ROCK SLOPE ENGINEERING Stanley M. Miller Department of Civil Engineering, University of Idaho, Moscow, ID, USA Add to Reading List Source URL: www.cdc.gov Language: English - Date: 2012-08-30 15:01:39 Soil mechanics Materials science Data analysis Geotechnical engineering Slope stability analysis Shear strength Slope stability Strength of materials Variance Statistics Mechanics Civil engineering
164	What to Do When Your Hessian Is Not Invertible Alternatives to Model Respecification in Nonlinear Estimation JEFF GILL University of California, Davis Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2013-02-04 23:42:24 Normal distribution Maximum likelihood Matrix Multivariate normal distribution Cholesky decomposition Point estimation Prior probability Likelihood function Estimator Statistics Estimation theory Variance
165	CHAPTER 6 Numerical Issues Involved in Inverting Hessian Matrices Jeff Gill and Gary King Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2013-02-04 23:37:34 Bayesian statistics Statistical theory Regression analysis Generalized linear model Point estimation Prior probability Cholesky decomposition Maximum likelihood Normal distribution Statistics Estimation theory Statistical inference
166	C OUENNE COIN-OR C OUENNE (Convex Over and Under Envelopes for Nonlinear Estimation) is an open-source solver for nonconvex mixed-integer nonlinear programming (MINLPs). The code has been developed originally in a cooper Add to Reading List Source URL: www.gams.com Language: English - Date: 2014-09-02 04:00:18 Mathematical analysis Linear programming COIN-OR SCIP Heuristic function Branch point Branch and bound Rounding MPS Operations research Mathematical optimization Mathematics
167	Sociological Methods & Research http://smr.sagepub.com/ The Bias and Efficiency of Incomplete-Data Estimators in Small Univariate Normal Samples Add to Reading List Source URL: www.utexas.edu Language: English - Date: 2014-03-07 12:02:05 Point estimation Bias of an estimator Mean squared error M-estimator Minimum-variance unbiased estimator Maximum likelihood Efficiency Bayes estimator Sample maximum and minimum Statistics Estimation theory Estimator
168	The Newsletter of the R Project News Volume 6/1, March 2006 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2006-04-01 23:13:44 Monte Carlo software Estimation theory Markov models Just another Gibbs sampler OpenBUGS Markov chain Monte Carlo WinBUGS Point estimation Markov chain Statistics Statistical inference Bayesian statistics
169	ESTIMATORS AND THE ESTIMATION PROCESS by Charles R. Perry, Jr. The objective of any survey is to provide information on the characteristics of the population by examining a subset of the population. By analyzing the data Add to Reading List Source URL: nass.usda.gov Language: English - Date: 2012-02-23 10:28:32 Statistical theory Robust regression M-estimators Estimator Mean squared error Efficiency Sample size determination Sampling Point estimation Statistics Estimation theory Statistical inference
170	Bayesian Statistics in Neuroimaging Martin Lindquist Department of Biostatistics Johns Hopkins University Add to Reading List Source URL: www.brainmapping.org Language: English - Date: 2014-07-24 11:21:44 Statistical theory Estimation theory Probability interpretations Frequentist inference Bayesian probability Bayesian inference Prior probability Point estimation Credible interval Statistics Statistical inference Bayesian statistics

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