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Maximum likelihood
Results: 2166

#	Item
951	The Likelihood Ratio, Wald, and Lagrange Multiplier Tests: An Expository Note Author(s): A. Buse Reviewed work(s): Source: The American Statistician, Vol. 36, No. 3, Part 1 (Aug., 1982), pp[removed]Published by: America Add to Reading List Source URL: teach.business.uq.edu.au Language: English - Date: 2015-02-05 22:25:26 Statistical theory Econometrics Time series analysis Score test Wald test Likelihood-ratio test Maximum likelihood Fisher information Autoregressive conditional heteroskedasticity Statistics Statistical tests Estimation theory
952	Large Sample Properties of Generalized Method of Moments Estimators Author(s): Lars Peter Hansen Reviewed work(s): Source: Econometrica, Vol. 50, No. 4 (Jul., 1982), pp[removed]Published by: The Econometric Society St Add to Reading List Source URL: teach.business.uq.edu.au Language: English - Date: 2015-02-05 22:25:33 Econometrics Statistical inference Regression analysis Estimator Consistent estimator Asymptotic theory Generalized method of moments Efficient estimator Maximum likelihood Statistics Estimation theory Statistical theory
953	Theoretical background for WinBUGS code HMM.odc Estimation of infection and recovery rates for highly polymorphic parasites when detectability is imperfect, using hidden Markov models Tom Smith & Penelope Vounatsou Add to Reading List Source URL: www.swisstph.ch Language: English - Date: 2013-09-12 05:44:20 Markov processes Estimation theory Bioinformatics Markov chain Hidden Markov model Markov property Expectation–maximization algorithm Mixture model Maximum likelihood Statistics Markov models Probability and statistics
954	The University of Adelaide School of Economics Research Paper No[removed]July 2011 Add to Reading List Source URL: economics.adelaide.edu.au Language: English - Date: 2014-08-10 21:21:47 Markov models Statistical theory Options Normal distribution Markov chain Maximum likelihood Univariate Likelihood function Probability distribution Statistics Mathematical finance Estimation theory
955	1 Learning Graphical Model Parameters with Approximate Marginal Inference Justin Domke, NICTA & Australia National University Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-09-04 21:04:45 Expectation–maximization algorithm Maximum likelihood Bayes estimator Loss function Sufficient statistic Belief propagation Statistics Estimation theory Statistical theory
956	Working Paper/Document de travail[removed]A New Linear Estimator for Gaussian Dynamic Term Structure Models by Antonio Diez de los Rios Add to Reading List Source URL: www.bankofcanada.ca Language: English - Date: 2013-04-22 13:50:03 Econometrics Statistical inference Parametric statistics Linear regression Ordinary least squares Maximum likelihood Generalized method of moments Estimator Least squares Statistics Estimation theory Regression analysis
957	Title: Proper Handling of Missing Data: An Overview and Brief Tutorial Abstract/summary: Whether missing data are present or not, the goal of a statistical model is to obtain valid and efficient estimates of population p Add to Reading List Source URL: www.apa.org Language: English - Date: 2015-03-03 10:01:51 Imputation Estimation theory Statistical theory Maximum likelihood Statistics Data analysis Missing data
958	ESTIMATION OF THE APPROACH RATE IN CONTINUOUS SAMPLING PLANS Geoffrey Decrouez Joint work with Andrew Robinson Crawford School of Public Policy, Australian National University Add to Reading List Source URL: www.acera.unimelb.edu.au Language: English - Date: 2013-10-28 01:08:19 Statistical inference Maximum likelihood Statistical theory Variance Sampling Quality assurance Statistics Estimation theory Data analysis
959	Microsoft Word - 041_Pages[removed]MAURY.doc Add to Reading List Source URL: www.iccat.int Language: English - Date: 2005-05-25 06:26:00 Estimation theory Fish mortality Log-normal distribution Normal distribution Random walk Autoregressive conditional heteroskedasticity Maximum likelihood Population dynamics of fisheries Statistics Fisheries science Econometrics
960	X Information Aggregation in Exponential Family Markets JACOB ABERNETHY, University of Michigan, Ann Arbor SINDHU KUTTY, University of Michigan, Ann Arbor ´ SEBASTIEN Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-24 20:29:48 Estimation theory Exponentials Maximum likelihood Exponential family Sufficient statistic Normal distribution Log-normal distribution Score Maximum entropy probability distribution Statistics Probability and statistics Statistical theory

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