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M-estimator
Results: 410

#	Item
141	A small sample bias correction and implications for inference Brenton R Clarke* Mathematics and Statistics, School of Engineering and Information Technology, Murdoch University, Western Australia 6150 Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Statistical theory Robust statistics Estimator Bootstrapping M-estimator Bias of an estimator Efficient estimator Statistics Statistical inference Estimation theory
142	Road Friction Estimation, part II IVSS Project Report ∗ M. Andersson , F. Bruzelius, J. Casselgren, M. Hjort, S. L¨ofving, G. Olsson, Add to Reading List Source URL: www.ivss.se Language: English - Date: 2010-11-22 07:56:27 Estimation theory Tires Statistics Tribology Friction Estimator Sliding Flat tire Physics Statistical inference Classical mechanics
143	Teacher Expectancy Random-Effects Meta-Analysis and Meta-Regression using Bayes Modal Estimation to Avoid Boundary Estimates Yeojin Chung Kookmin University, Seoul, Korea Add to Reading List Source URL: www.gllamm.org Language: English - Date: 2013-12-31 21:19:28 Maximum likelihood Likelihood function Meta-analysis Empirical Bayes method M-estimator Observed information Point estimation Statistics Estimation theory Restricted maximum likelihood
144	Research Article Received 1 July 2012, Accepted 18 MarchPublished online 13 May 2013 in Wiley Online Library Add to Reading List Source URL: www.gllamm.org Language: English - Date: 2013-12-31 21:06:55 Meta-analysis Linear regression Point estimation Estimator Mean squared error Bias of an estimator M-estimator Restricted maximum likelihood Empirical Bayes method Statistics Estimation theory Maximum likelihood
145	Sampling Methods to Estimate Foliage and Other Characteristics of Individual Trees Author(s): Timothy G. Gregoire, Harry T. Valentine, George M. Furnival Source: Ecology, Vol. 76, No. 4, (Jun., 1995), ppPubli Add to Reading List Source URL: www.planta.cn Language: English - Date: 2008-06-26 04:47:03 Monte Carlo methods Data analysis Computational statistics Importance sampling Sampling Estimator Uniform distribution Variance Standard error Statistics Statistical inference Estimation theory
146	Change-Point Analysis DR. WAYNE A. TAYLOR Taylor Enterprises, Inc., Libertyville, IL[removed]Change-point analysis is a powerful new tool for determining whether a change has taken place. It is capable of detecting subtle Add to Reading List Source URL: www.variation.com Language: English - Date: 2014-12-31 23:27:20 Change detection Data analysis Time series analysis CUSUM Bootstrapping Control chart Autocorrelation Shewhart individuals control chart M-estimator Statistics Statistical inference Computational statistics
147	Panel Data estimation using DPD for Ox B Y J URGEN A. D OORNIK1 , M ANUEL A RELLANO2 , AND S TEPHEN B OND3 1 Nuffield College, Oxford, http://www.nuff.ox.ac.uk/users/doornik/ 2 CEMFI, Madrid, http://www.cemfi.es/∼arell Add to Reading List Source URL: www.doornik.com Language: English - Date: 2013-08-12 13:06:04 Regression analysis Statistical inference M-estimators Instrumental variable Estimator Sargan test Least squares Generalized method of moments Variance Statistics Estimation theory Econometrics
148	Smoothed Gradients for Stochastic Variational Inference David Blei Department of Computer Science Department of Statistics Columbia University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Statistical theory M-estimators Operations research Variational Bayesian methods Mathematical optimization Stochastic gradient descent Stochastic optimization Variance Bias of an estimator Statistics Probability theory Estimation theory
149	Comparison of Optimal Location Estimators by Friedrich-Wilhelm Scholz Grad. (University of G¨ ottingen) 1965 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 1998-04-21 09:06:24 Statistical inference M-estimators Robust statistics Estimator Invariant estimator Maximum likelihood Efficiency Normal distribution Variance Statistics Estimation theory Statistical theory
150	The Bootstrap Small Sample Properties1 F.W. Scholz University of Washington June 25, [removed]edited Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-06-25 13:19:44 Data analysis Statistical theory Bootstrapping Resampling Confidence interval Normal distribution M-estimator Maximum likelihood Statistics Statistical inference Estimation theory

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