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M-estimator
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291	Package ‘bootstrap’ July 2, 2014 Version[removed]Date[removed]Title Functions for the Book ``An Introduction to the Bootstrap'' Author S original, from StatLib, by Rob Tibshirani. R port by Friedrich Leisch. Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:23:19 Data analysis Statistical theory Bootstrapping Resampling Maximum likelihood Confidence interval Estimator Bradley Efron M-estimator Statistics Statistical inference Estimation theory
292	BAYESIAN STATISTICS 9 J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (Eds.) c Oxford University Press, 2010 Add to Reading List Source URL: errorstatistics.files.wordpress.com Language: English - Date: 2014-01-15 23:27:08 Loss function Bayes estimator Consistent estimator Kullback–Leibler divergence Likelihood function Sufficient statistic Maximum likelihood Statistics Statistical theory Estimation theory
293	Journal of Econometrics[removed]–131 www.elsevier.com/locate/econbase Individual eects and dynamics in count data models Richard Blundella; b , Rachel Gri&thb , Frank Windmeijerb; ∗ Add to Reading List Source URL: personalpages.manchester.ac.uk Language: English - Date: 2006-01-17 09:29:44 Maximum likelihood Estimator Instrumental variable Consistent estimator M-estimator Mean squared error T-statistic Normal distribution Statistics Estimation theory Generalized method of moments
294	The Annals of Statistics 2000, Vol. 28, No. 4, 961–999 FUNCTIONAL ANOVA MODELING FOR PROPORTIONAL HAZARDS REGRESSION By Jianhua Z. Huang,1 Charles Kooperberg,2 Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2005-10-07 17:56:36 Generalized functions Functional analysis Parametric statistics Proportional hazards models Likelihood function Distribution Analysis of variance Maximum likelihood M-estimator Statistics Estimation theory Regression analysis
295	Comments on "How much nominal rigidity is there in the US economy? Testing a New Keynesian DSGE Model using indirect inference" by V.P.M. Le, P. Minford, and M. Wickens Masao Ogaki Add to Reading List Source URL: gcoe.ier.hit-u.ac.jp Language: English - Date: 2010-01-20 21:08:15 Resampling Non-parametric statistics Dynamic stochastic general equilibrium Estimator Estimation theory Vector autoregression Statistics Statistical inference Bootstrapping
296	Submitted to the Annals of Statistics BOOTSTRAP CONSISTENCY FOR GENERAL SEMIPARAMETRIC M-ESTIMATION February 11, 2010 By Guang Cheng∗ and Jianhua Z. Huang† Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2010-02-12 00:14:15 Statistical theory Econometrics Statistical models Parametric model Maximum likelihood Bootstrapping Resampling Semiparametric model M-estimator Statistics Estimation theory Statistical inference
297	Efficient Estimation in Marginal Partially Linear Models for Longitudinal/Clustered Data Using Splines JIANHUA Z. HUANG Department of Statistics, Texas A&M University LIANGYUE ZHANG Retail Financial Services, JPMorgan Ch Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2007-07-31 15:32:26 Statistical inference Regression analysis Statistical models Parametric model Semiparametric model Semiparametric regression Nonparametric regression Estimator Efficient estimator Statistics Statistical theory Estimation theory
298	1/cmr/m/n/12 1/cmr/m/n/12 Efficient Semiparametric Estimation in Generalized Partially Linear Additive Models for Longitudinal/Clustered Data Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2013-06-01 15:40:06 Statistical theory Statistical models Econometrics Fisher information Parametric model Covariance Normal distribution Generalized estimating equation Efficient estimator Statistics Estimation theory Regression analysis
299	The Big Data Bootstrap Ariel Kleiner [removed] Ameet Talwalkar [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:54 Estimation theory Data analysis Resampling Bootstrapping Bootstrap aggregating M-estimator Estimator Normal distribution Statistics Statistical inference Computational statistics
300	May 2012 PhD Qualifying Examination Department of Statistics University of South Carolina Part I: Exam Day #1 9:00AM–1:00PM Instructions: Add to Reading List Source URL: www.stat.sc.edu Language: English - Date: 2014-03-05 17:00:32 Statistical inference M-estimators Econometrics Maximum likelihood Fisher information Bayes estimator Confidence interval Bias of an estimator Consistent estimator Statistics Estimation theory Statistical theory

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