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Maximum likelihood estimation
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#	Item
211	Evaluation of a New Variance Components Estimation Method— Modi…ed Henderson’s Method 3 With the Application of Two Way Mixed Model Author: Weigang Qie; Chenfan Xu Supervisor: Lars Rönnegård Add to Reading List Source URL: www.statistics.du.se Language: English - Date: 2009-11-24 08:00:15 Statistical inference Signal processing M-estimators Mean squared error Estimator Bias of an estimator Variance Maximum likelihood Efficiency Statistics Estimation theory Statistical theory
212	Maximum Likelihood Estimation of Logistic Regression Models: Theory and Implementation Scott A. Czepiel∗ Abstract This article presents an overview of the logistic regression model Add to Reading List Source URL: czep.net Language: English - Date: 2014-01-05 17:25:31 Estimation theory Actuarial science Categorical data Logistic regression Linear regression Generalized linear model Least squares Multinomial logit Maximum likelihood Statistics Regression analysis Econometrics
213	Identification and estimation of Gaussian affine term structure models Add to Reading List Source URL: faculty.chicagobooth.edu Language: English - Date: 2014-07-23 16:53:53 Maximum likelihood Dimensional analysis Parametrization Ordinary least squares Vector autoregression Generalized method of moments Multivariate normal distribution Likelihood-ratio test Fisher information Statistics Estimation theory M-estimator
214	The estimation uncertainty of permanent-transitory decompositions in co-integrated systems∗ by Sven Schreiber† this version: February 2014 Add to Reading List Source URL: econ.schreiberlin.de Language: English - Date: 2014-02-25 15:02:00 Regression analysis Measurement Multivariate statistics Maximum likelihood Vector autoregression Confidence interval Symbol Statistics Econometrics Estimation theory
215	arXiv:1312.6114v9 [stat.ML] 10 AprAuto-Encoding Variational Bayes Max Welling Machine Learning Group Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-04-19 07:05:02 Statistical models Statistical inference Expectation–maximization algorithm Missing data Variational Bayesian methods Maximum likelihood Normal distribution Bayesian network Marginal likelihood Statistics Estimation theory Bayesian statistics
216	cover-datafirst-saldru_latest.indd Add to Reading List Source URL: www.datafirst.uct.ac.za Language: English - Date: 2013-11-21 08:16:49 Probability and statistics Statistical inference M-estimators Signal processing Maximum likelihood Normal distribution Principle of maximum entropy Estimator Entropy Statistics Statistical theory Estimation theory
217	Measuring Bias and Uncertainty in Ideal Point Estimates via the Parametric Bootstrap Jeffrey B. Lewis Department of Political Science University of California, Los Angeles Los Angeles, CA 90095 Add to Reading List Source URL: www.voteview.com Language: English - Date: 2012-06-14 10:28:10 Statistical theory Data analysis Econometrics Bootstrapping Resampling Maximum likelihood Estimator Efficient estimator NOMINATE Statistics Statistical inference Estimation theory
218	Maximum-likelihood estimation for the offset normal shape distributions using EM Alfred Kume Institute of Mathematics, Statistics and Actuarial Science, University of Kent Canterbury, CT2 7NF,UK Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2010-09-23 15:44:42 Normal distribution Multivariate normal distribution Complex normal distribution Expectation–maximization algorithm Moment Exponential family Statistics Mathematical analysis Probability and statistics
219	Statistical Modelling 2008; 8(3): Modelling measurement errors and category misclassifications in multilevel models Harvey Goldstein1 , Daphne Kounali1 and Anthony Robinson2 1 Graduate School of Education, Univ Add to Reading List Source URL: www.bris.ac.uk Language: English - Date: 2015-01-23 07:21:26 Estimation theory Statistical models Actuarial science Errors-in-variables models Instrumental variable Normal distribution Covariance Maximum likelihood Variance Statistics Regression analysis Econometrics
220	STATISTICS Dalarna University D-level Master’s Thesis 2007 Which estimator of the dispersion parameter for the Gamma family Add to Reading List Source URL: www.statistics.du.se Language: English - Date: 2009-11-24 08:00:13 Statistical inference Maximum likelihood Estimator Normal distribution Bias of an estimator Gamma distribution Consistent estimator Generalized linear model Scale parameter Statistics Estimation theory Statistical theory

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