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Log-linear model
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1	WEYAND, DESELAERS, NEY: LOG-LINEAR MIXTURES 1 Log-Linear Mixtures for Object Class Recognition Add to Reading List Source URL: thomas.deselaers.de Language: English - Date: 2014-10-11 09:29:39 Machine learning Artificial intelligence Learning Statistics Mixture model Log-linear model Pattern recognition K-means clustering Linear classifier
2	Microsoft Word - orbs7070.doc Add to Reading List Source URL: www.math.hkbu.edu.hk Language: English - Date: 2013-09-27 05:04:18 Statistics Regression analysis Categorical data Information Knowledge Actuarial science Scientific method Statistical models Logistic regression Log-linear model Generalized linear model Data analysis
3	Instrumental Variables Homework 1) Use the data in the Stata data file, _Mroz.dta_, _http://mason.gmu.edu/~atabarro/Mroz.dta_, to estimate the return to education using the simple regression model log(wage)=B0 + B1edu Add to Reading List Source URL: mason.gmu.edu Language: English* - Date: 2007-02-22 18:05:16 Regression analysis Estimation theory Statistics Instrumental variable Endogeneity Simple linear regression Regression Linear regression
4	A Log-Linear Model for Unsupervised Text Normalization Yi Yang School of Interactive Computing Georgia Institute of Technology Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2013-09-16 23:31:17
5	Co-conspirators Advances in Visualizing Categorical Data Using the vcd, gnm and vcdExtra Packages in R Michael Friendly1 Heather Turner2 Add to Reading List Source URL: www.datavis.ca Language: English - Date: 2012-09-12 11:48:19 Michael Friendly Psychologists Log-linear model Gender R Mathematical model Science Software Mathematics Biology Sociology
6	Instrumental Variables Homework 1) Use the data in the Stata data file, _Mroz.dta_, _http://mason.gmu.edu/~atabarro/Mroz.dta_, to estimate the return to education using the simple regression model log(wage)=B0 + B1edu Add to Reading List Source URL: mason.gmu.edu Language: English* - Date: 2007-02-22 18:05:16 Economics Instrumental variable Endogeneity Simple linear regression Regression Linear regression Statistics Econometrics Regression analysis
7	Modeling between and within-subject variances using mixed effects location scale models for intensive longitudinal data Donald Hedeker University of Chicago Add to Reading List Source URL: www.modeling.uconn.edu Language: English - Date: 2015-05-20 17:39:43 Data analysis Parametric statistics Statistical tests Random effects model Variance Multilevel model Standard deviation Log-normal distribution Linear regression Statistics Analysis of variance Statistical models
8	Title stata.com mecloglog — Multilevel mixed-effects complementary log-log regression Description Options Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-04-07 21:48:24 Statistical models Econometrics Statistical methods Mixed model Linear regression Multilevel model Normal distribution Generalized linear mixed model Random effects model Statistics Regression analysis Analysis of variance
9	Upgrade Manual for Latent GOLD Choice 5.0: Basic, Advanced, and Syntax1 Jeroen K. Vermunt and Jay Magidson Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2014-10-22 09:46:40 Psychometrics Econometrics Statistical methods Discrete choice Choice modelling Economic model Regression analysis Latent variable Log-linear model Statistics Economics Statistical models
10	EUROSPEECHGENEVA A Comparative Study on Maximum Entropy and Discriminative Training for Acoustic Modeling in Automatic Speech Recognition Wolfgang Macherey and Hermann Ney Lehrstuhl f¨ur Informatik VI, Computer Add to Reading List Source URL: www.isca-speech.org Language: English - Date: 2009-09-21 06:28:13 Statistical classification Computer accessibility Speech recognition Maximum-entropy Markov model Pattern recognition Mutual information Linear discriminant analysis Log-linear model Segmentation Statistics Markov models Machine learning

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