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Statistical models
Results: 4614

#	Item
941	Structural Equation Methods Dr. Ken Bollen, University of North Carolina The Meaning of Latent Variables in Social and Behavioral Science Research Dr. Jose Cortina, George Mason University Goodness of Fit & Structural Eq Add to Reading List Source URL: carma.wayne.edu Language: English - Date: 2014-03-06 10:19:26 Multivariate statistics Structural equation models Econometrics Structural equation modeling Hierarchical linear modeling Data analysis Mediation Meta-analysis Karl Gustav Jöreskog Statistics Statistical models Psychometrics
942	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
943	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
944	Application of latent class models to food product development: a case study Richard Popper1, Jeff Kroll1 and Jay Magidson2 1 Peryam & Kroll Research Corporation, 6323 N. Avondale Ave., Chicago, IL 60631, Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:13:59 Statistical methods Categorical data Estimation theory Linear regression Latent class model Bayesian information criterion Economic model Statistics Regression analysis Econometrics
945	7 MULTILEVEL LATENT CLASS MODELS Jeroen K. Vermunt* The latent class (LC) models that have been developed so far assume that observations are independent. Parametric and nonparametric random-coefficient LC models are pro Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:01 Psychometrics Estimation theory Actuarial science Multilevel model Expectation–maximization algorithm Item response theory Latent class model Non-parametric statistics Normal distribution Statistics Statistical models Econometrics
946	The Annals of Statistics 2004, Vol. 32, No. 2, 723–753 © Institute of Mathematical Statistics, 2004 INFORMATION BOUNDS FOR COX REGRESSION MODELS WITH MISSING DATA Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 06:02:03 Parametric model Mathematics Digital typography Mathematical sciences Symbol Errors-in-variables models Statistical models Closed and exact differential forms Lemmas
947	Learning Generative Models with Visual Attention Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov Department of Computer Science University of Toronto Toronto, Ontario, Canada Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-01-20 13:56:05 Machine learning Statistical models Graphical models Bayesian statistics Networks Boltzmann machine Generative model Bayesian inference Bayesian network Statistics Probability and statistics Probability
948	Microsoft Word - MNL-Instruction.docx Add to Reading List Source URL: www.businessandeconomics.mq.edu.au Language: English - Date: 2015-02-14 04:42:23 Econometrics Statistical models Multinomial logit Logistic regression Multinomial Discrete choice Statistics Regression analysis Economics
949	Multilevel Modeling in RA Brief Introduction to R, the multilevel package and the nlme package Paul Bliese () March 28, 2013 Add to Reading List Source URL: cran.uni-muenster.de Language: English - Date: 2013-03-31 16:45:46 SPSS R Hierarchical linear modeling MATLAB Mediation Spreadsheet Statistics Statistical models Multilevel model
950	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: jair.org Language: English - Date: 2011-09-06 21:32:01 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models

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