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M-estimator
Results: 410

#	Item
271	Empirical Likelihood-Based Constrained Nonparametric Regression with an Application to Option Price and State Price Density Estimation Guangyi Ma y Texas A&M University This version: January 20, 2011 Add to Reading List Source URL: www.albany.edu Language: English - Date: 2012-01-23 20:24:14 Econometrics Statistical inference Statistical theory M-estimator Linear regression Polynomial regression Estimator Nonparametric regression Normal distribution Statistics Estimation theory Regression analysis
272	Supplementary materials for this article are available at[removed]s13253[removed]Bayesian Methods for Hierarchical Distance Sampling Models C.S. O EDEKOVEN, S.T. B UCKLAND, M.L. M ACKENZIE, R. K ING, K.O. E VANS, an Add to Reading List Source URL: www.gri.msstate.edu Language: English - Date: 2014-05-01 12:25:47 Empirical Bayes method Gamma distribution Likelihood function Poisson distribution Bayes estimator Linear regression Generalized linear model Statistics Estimation theory Maximum likelihood
273	Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions Barnabás Póczos School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-07-25 14:43:49 Statistical inference Machine learning M-estimators Kullback–Leibler divergence Rényi entropy Estimator Normal distribution Generalized method of moments Bias of an estimator Statistics Estimation theory Statistical theory
274	Package ‘StableEstim’ July 2, 2014 Type Package Title Estimate the 4 parameters of stable law using different methods Version 2.0 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:35:15 Generalized method of moments M-estimator Maximum likelihood Jacobian matrix and determinant Characteristic function Estimator Fisher information Estimation theory Statistics Mathematics
275	Prediction Error Estimation: A Comparison of Resampling Methods Annette M. Molinaro ∗ Biostatistics Branch Division of Cancer Epidemiology and Genetics, NCI, NIH Richard Simon Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:36 Estimation theory Data analysis Monte Carlo methods Cross-validation Resampling Bootstrapping Mean squared error Regression analysis Estimator Statistics Statistical inference Computational statistics
276	Studies in Nonlinear Dynamics & Econometrics A Maximum Score Test for Binary Response Models Journal: Add to Reading List Source URL: economics.olemiss.edu Language: English - Date: 2013-04-04 14:43:13 Parametric statistics Econometrics M-estimators Maximum likelihood Linear regression Parametric model T-statistic Extremum estimator Hájek–Le Cam convolution theorem Statistics Estimation theory Statistical theory
277	Robust Nonparametric Estimation of Efficiency and Technical Change in U.S. Commercial Banking Add to Reading List Source URL: research.stlouisfed.org Language: English - Date: 2009-07-06 13:57:42 Statistical inference Statistical theory Robust statistics Estimator Data envelopment analysis Maximum likelihood Statistics Estimation theory M-estimators
278	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
279	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
280	Adjusted Survival Curves Terry M Therneau, Cynthia S Crowson, Elizabeth J Atkinson 1 Introduction Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:40:13 Sampling Survey methodology Resampling Kaplan–Meier estimator Statistics Non-parametric statistics Statistical tests

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