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Linear model
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#	Item
671	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.case.edu Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
672	Learning Mixtures of Product Distributions using Correlations and Independence Kamalika Chaudhuri Information Theory and Applications, UC San Diego Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-01-01 02:41:47 Linear algebra Data analysis Machine learning Multivariate statistics Cluster analysis Mixture model Normal distribution Vector space Variance Algebra Statistics Mathematics
673	A review of poverty mapping procedures Isabel Molina Universidad Carlos III de Madrid (Madrid, Spain) J.N.K. Rao Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:20 Resampling Small area estimation Bootstrapping Estimator Linear regression Regression analysis Mixed model Empirical Bayes method Mean squared error Statistics Estimation theory Statistical inference
674	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.es.r-project.org Language: English - Date: 2013-03-31 16:45:46 SPSS R Hierarchical linear modeling MATLAB Mediation Spreadsheet Statistics Statistical models Multilevel model
675	g02 – Regression Analysis g02dkc nag regsn mult linear tran model (g02dkc) 1. Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Econometrics Estimation theory Numerical linear algebra Parametric statistics Linear regression Degrees of freedom Matrix Linear model Covariance Statistics Algebra Regression analysis
676	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.rstudio.com Language: English - Date: 2013-03-31 16:45:46 SPSS R Hierarchical linear modeling MATLAB Mediation Spreadsheet Statistics Statistical models Multilevel model
677	Title stata.com logistic — Logistic regression, reporting odds ratios Description Options Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-04-07 21:48:39 Econometrics Actuarial science Statistical models Logistic regression Logit Ordered logit Probit Generalized linear model Ordered probit Statistics Regression analysis Categorical data
678	From propositional to first-order monitoring Andreas Bauer1,2 , Jan-Christoph K¨uster1,2 , and Gil Vegliach1 1 NICTA? Software Systems Research Group, 2 Australian National University Add to Reading List Source URL: www.gilvegliach.it Language: English - Date: 2014-02-20 13:15:15 Temporal logic Metalogic FO Model theory Interpretation IP Theoretical computer science Logic Linear temporal logic
679	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: ftp.yzu.edu.tw Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
680	Non-parametric Random-Effects Model Jeroen K. Vermunt & Jay Magidson Random-effects modeling is one of the several alternative approaches to deal with dependent observations such as that which occur in repeated measures Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:06 Econometrics Actuarial science Statistical inference Linear regression Non-parametric statistics Latent class model Mixture distribution Parametric model Generalized linear model Statistics Statistical models Regression analysis

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