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Categorical data
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#	Item
101	9 MULTIPLE IMPUTATION OF INCOMPLETE CATEGORICAL DATA USING LATENT CLASS ANALYSIS Jeroen K. Vermunt* Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2008-10-27 13:09:12 Econometrics Statistical models Categorical data Imputation Data analysis Poisson regression Maximum likelihood Missing data Mixture model Statistics Estimation theory Regression analysis
102	CHAPTER 5. BASIC STEPS FOR MODEL DEVELOPMENT Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-05-18 08:50:19 Categorical data Statistical methods Estimation theory Linear regression Logistic regression Poisson regression Factor analysis Multinomial logit Binomial regression Statistics Regression analysis Econometrics
103	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:13 Regression analysis Categorical data Estimation theory Expectation–maximization algorithm Mixture model Latent class model Mixture distribution Hidden Markov model Markov chain Statistics Statistical models Markov models
104	Replicated Case Studies for Investigating Quality Factors in Object-Oriented Designs Lionel C. Briand Jürgen Wüst Add to Reading List Source URL: www.sdmetrics.com Language: English - Date: 2002-12-27 10:15:21 Multivariate statistics Statistical methods Categorical data Multicollinearity Linear regression Logistic regression Mahalanobis distance Stepwise regression Univariate Statistics Regression analysis Econometrics
105	Journal of Feline Medicine and Surgery http://jfm.sagepub.com/ Positive predictive value of albumin: globulin ratio for feline infectious peritonitis in a mid-western referral hospital population Add to Reading List Source URL: www.2ndchance.info Language: English - Date: 2014-02-04 17:19:54 Categorical data Feline infectious peritonitis Nidovirales Peritonitis Cat Negative predictive value Prevalence Positive predictive value Statistics Animal virology Biostatistics
106	Assessing the Applicability of Fault-Proneness Models Across Object-Oriented Software Projects Lionel C. Briand Carleton University Systems and Computer Engineering 1125 Colonel By Drive Add to Reading List Source URL: www.sdmetrics.com Language: English - Date: 2002-12-27 10:08:13 Machine learning Categorical data Statistical methods Cross-validation Logistic regression Linear regression Multivariate adaptive regression splines Reliability engineering Data analysis Statistics Regression analysis Econometrics
107	Removing the Scale Factor Confound in Multinomial Logit Choice Models to Obtain Better Estimates of Preference1 Jay Magidson Statistical Innovations Inc. Jeroen K. Vermunt Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2008-09-23 15:42:55 Categorical data Statistical models Choice modelling Scientific modeling Discrete choice Logistic regression Multinomial logit Scale parameter Parameter Statistics Economics Regression analysis
108	Tuesday 25th September, Seminar Murray Aitken Department of Mathematics and Statistics, The University of Melbourne. About Murray Murray Aitkin holds the degrees of PhD and DSc from the University of Sydney in mat Add to Reading List Source URL: www.statsoc.org.au Language: English - Date: 2014-03-27 21:04:48 Tel Aviv Exponential random graph models Model Statistics Categorical data Latent class model
109	Subject index A abbreviating commands . . . . . . . . . . . . . 19 ado-files . . . . . . . . . . . . . . . . . . . . . . . . . 9, 446 ado uninstall command . . . . . . . . . . . . 9 AICsee Akaike information crite Add to Reading List Source URL: www.stata-press.com Language: English - Date: 2005-12-06 15:51:02 Categorical data Statistical models Data analysis Multinomial logit Logistic regression Logit Multinomial probit Binomial regression Dummy variable Statistics Regression analysis Econometrics
110	Latent Class Analysis Jeroen K. Vermunt & Jay Magidson The basic idea underlying latent class (LC) analysis is a very simple one: some of the parameters of a postulated statistical model differ across unobserved subgroup Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:48 Econometrics Categorical data Multivariate statistics Latent class model Expectation–maximization algorithm Latent variable model Structural equation modeling Logistic regression Mixture model Statistics Regression analysis Statistical models

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