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Statistical models
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#	Item
851	Credit Scoring in R 1 of 45 Guide to Credit Scoring in R Add to Reading List Source URL: ftp.yzu.edu.tw Language: English - Date: 2009-10-08 13:21:02 Biostatistics Econometrics Statistical models Credit score Data mining Random forest Logistic regression Pruning Recursive partitioning Statistics Regression analysis Decision trees
852	Title stata.com meglm — Multilevel mixed-effects generalized linear model Description Options Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-04-07 21:48:24 Statistical models Econometrics Data analysis Generalized linear model Mixed model Random effects model Linear regression Covariance matrix Multilevel model Statistics Regression analysis Analysis of variance
853	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
854	Microsoft Word - Tutorial3 40.doc Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:37:34 Bootstrapping Data analysis Resampling Statistical models Choice modelling Economic model Discrete choice Statistics Economics Statistical inference
855	The Annals of Statistics 2002, Vol. 30, No. 1, 74–99 VARIABLE SELECTION FOR COX’S PROPORTIONAL HAZARDS MODEL AND FRAILTY MODEL B Y J IANQING FAN1 Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2003-04-03 16:20:54 Statistical models Statistical theory Econometrics Linear regression Proportional hazards models Maximum likelihood Bias of an estimator Likelihood function Generalized linear model Statistics Regression analysis Estimation theory
856	Credit Scoring in R 1 of 45 Guide to Credit Scoring in R Add to Reading List Source URL: cran.cardse.net Language: English Biostatistics Econometrics Statistical models Credit score Data mining Random forest Logistic regression Pruning Recursive partitioning Statistics Regression analysis Decision trees
857	Credit Scoring in R 1 of 45 Guide to Credit Scoring in R Add to Reading List Source URL: mirror.mdx.ac.uk Language: English - Date: 2009-10-08 13:21:02 Biostatistics Econometrics Statistical models Credit score Data mining Random forest Logistic regression Pruning Recursive partitioning Statistics Regression analysis Decision trees
858	COMPSCI 276 Homework Assignment 4 Fall 2014 Instructor: Rina Dechter Due:Wednesday, November 5th Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-10-31 16:15:19 Statistical models Bayesian network Networks Ordered graph Mathematical sciences Mathematics Bayesian statistics Constraint programming Graphical models
859	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
860	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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