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Maximum likelihood
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#	Item
411	An Outlier Robust Block Bootstrap for Small Area Estimation Payam Mokhtarian Dehkordi School of Mathematics and Applied Statistics, University of Wollongong, Australia, Ray Chambers* National Instit Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:20 Statistical inference Robust statistics Data analysis Bootstrapping Outlier Restricted maximum likelihood Errors and residuals in statistics Maximum likelihood Best linear unbiased prediction Statistics Statistical theory Estimation theory
412	The Annals of Statistics 2003, Vol. 31, No. 4, 1110–1139 © Institute of Mathematical Statistics, 2003 LARGE SAMPLE THEORY FOR SEMIPARAMETRIC REGRESSION MODELS WITH TWO-PHASE, OUTCOME Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 06:02:03 M-estimators Statistical models Maximum likelihood Fisher information Parametric model Sinc function Statistics Estimation theory Statistical theory
413	A multidimensial mixture model for unsupervised tail estimation Note no Add to Reading List Source URL: sfi.nr.no Language: English - Date: 2012-09-19 01:20:58 Statistical models Probability theory Estimation theory M-estimators Normal distribution Maximum likelihood Cumulative distribution function Pareto distribution Mixture model Statistics Probability and statistics Probability
414	The Annals of Statistics 2001, Vol. 29, No. 6, 1699–1731 LIKELIHOOD RATIO TESTS FOR MONOTONE FUNCTIONS By Moulinath Banerjee1 and Jon A. Wellner2 University of Michigan and University of Washington Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 06:02:03 Statistical theory M-estimators Regression analysis Maximum likelihood Convex function Least squares Likelihood function Normal distribution Monotonic function Statistics Mathematical analysis Estimation theory
415	INTERNATIONAL DOLPHIN CONSERVATION PROGRAM SCIENTIFIC ADVISORY BOARD 7TH MEETING LA JOLLA, CALIFORNIA (USA) Add to Reading List Source URL: www.iattc.org Language: English - Date: 2011-05-17 17:34:19 Estimation theory M-estimators Bycatch Water Dolphin Pantropical spotted dolphin Logistic map Spinner dolphin Maximum likelihood Oceanic dolphins Statistics Cetaceans
416	The Annals of Statistics 2001, Vol. 29, No. 6, 1620–1652 A CANONICAL PROCESS FOR ESTIMATION OF CONVEX FUNCTIONS: THE “INVELOPE” OF INTEGRATED BROWNIAN MOTION + t4 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 06:02:03 Estimation theory M-estimators Convex function Derivative Maximum likelihood Envelope Continuous function Mathematical analysis Mathematics Convex analysis
417	Discriminative Fields for Modeling Spatial Dependencies in Natural Images Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-09-12 21:34:08 Discriminative model Hidden Markov model Generalized linear model Maximum likelihood Statistical model Statistical classification Logistic function Mixture model Perceptron Statistics Machine learning Conditional random field
418	➠ ➡ IMPROVED COVARIANCE MODELING FOR MAXIMUM LIKELIHOOD MULTIPLE SUBSPACE TRANSFORMATIONS Xi Zhou1, Ye Tian2, Jian-lai Zhou2, Bei-qian Dai1 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:41:28 Data analysis Matrices Estimation theory Covariance matrix Linear discriminant analysis Covariance Normal distribution Matrix Maximum likelihood Statistics Covariance and correlation Multivariate statistics
419	The Annals of Statistics 2001, Vol. 29, No. 6, 1653–1698 ESTIMATION OF A CONVEX FUNCTION: CHARACTERIZATIONS AND ASYMPTOTIC THEORY By Piet Groeneboom, Geurt Jongbloed and Jon A. Wellner1 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 06:02:03 Mathematical analysis Statistical inference Econometrics Regression analysis Maximum likelihood Convex function Asymptotic theory Least squares Estimator Statistics Estimation theory Statistical theory
420	CURRENT STATUS DATA WITH COMPETING RISKS: LIMITING DISTRIBUTION OF THE MLE By Piet Groeneboom, Marloes H. Maathuis∗ and Jon A. Wellner† Delft University of Technology and Vrije Universiteit Amsterdam, University of W Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-05-04 16:20:46 Statistical theory Estimation theory M-estimators Maximum likelihood

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