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Missing data
Results: 1627

#	Item
431	Information on missing variables and reasons why they are missing Variable code Reference year SCD City Add to Reading List Source URL: ec.europa.eu Language: English - Date: 2014-12-16 15:11:33 Data Scientific method Statistics Linux From Scratch Sample size determination Sample Information Science Sampling
432	NEPS WORKING PAPERS Christian Aßmann, Ariane Würbach, Solange Goßmann, Ferdinand Geissler, Anika Biedermann A NONPARAMETRIC MULTIPLE IMPUTATION APPROACH FOR Add to Reading List Source URL: www.neps-data.de Language: English - Date: 2014-05-07 03:57:17 Econometrics Regression analysis Imputation Listwise deletion Instrumental variable Bootstrapping Causality Statistics Data analysis Missing data
433	Mixture models for describing some strange looking datasets Add to Reading List Source URL: www.rsc.org Language: English - Date: 2014-08-20 04:20:15 Statistical models Statistical theory Expectation–maximization algorithm Missing data Mixture model Maximum likelihood Least squares Normal distribution Mixture distribution Statistics Estimation theory Regression analysis
434	CS 294-2, Grouping and Recognition (Prof. Jitendra Malik) Sept 1st, 1999 Lecture #4 (Expectation Maximization Algorithm) DRAFT Notes by Rene Vidal Mixture models with incomplete data Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:54:43 Statistical theory Expectation–maximization algorithm Missing data Normal distribution Mixture model Maximum likelihood Multivariate normal distribution Statistics Estimation theory Cluster analysis
435	An Empirical Comparison of Techniques for Handling Incomplete Data Using Decision Trees BHEKISIPHO TWALA Modelling and Digital Intelligence, CSIR, P O Box 395, Pretoria 0001, South Africa ________________________________ Add to Reading List Source URL: researchspace.csir.co.za Language: English - Date: 2011-01-28 14:41:17 Machine learning Decision trees Imputation Data mining Decision tree learning Data set Expectation–maximization algorithm Supervised learning Censoring Statistics Data analysis Missing data
436	Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability Ramesh Nallapati, William Cohen and John Lafferty Machine Learning Department Carnegie Mellon University 50 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-09-24 14:58:31 Missing data Latent Dirichlet allocation Linear discriminant analysis Statistics Estimation theory Expectation–maximization algorithm
437	Articles Trends in selective abortions of girls in India: analysis of nationally representative birth histories from 1990 to 2005 and census data from 1991 to 2011 Prabhat Jha, Maya A Kesler, Rajesh Kumar, Faujdar Ram, Add to Reading List Source URL: cghr.org Language: English - Date: 2013-01-24 09:29:00 Reproduction Behavior Demographics Fertility Sex-selective abortion Missing women of Asia Abortion Sex ratio One-child policy Population Demography Gender
438	Moving From Theory to Action: Building a Model of Institutional Access for Student Success Add to Reading List Source URL: web.ewu.edu Language: English - Date: 2008-04-16 16:29:48 Academia Student financial aid in the United States Higher education Education policy Decreasing graduation completion rates in the United States Integrated Postsecondary Education Data System Education Vince Tinto Year of birth missing
439	S AMPLE CHAPTER Nina Zumel John Mount FOREWORD BY Jim Porzak Add to Reading List Source URL: www.manning.com Language: English - Date: 2014-03-25 16:48:38 Scientific method Econometrics Missing data Data set Mode Regression analysis Mean Quantile Categorical data Statistics Data analysis Summary statistics
440	ISSN[removed]Forecasting Bankruptcy and Physical Default Intensity Ping Zhou DISCUSSION PAPER NO 614 Add to Reading List Source URL: eprints.lse.ac.uk Language: English - Date: 2010-10-01 05:24:30 Imputation Economic model Macroeconomic model Missing data Statistics Data analysis Forecasting

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