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Data independence
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#	Item
61	Comparing Latent Class Factor Analysis with Traditional Factor Analysis for Datamining by Jay Magidson, Statistical Innovations Inc. () and Jeroen K. Vermunt, Tilburg University Keywords: fa Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:04 Econometrics Psychometrics Categorical data Factor analysis Logistic regression Latent class model Data analysis Linear regression Local independence Statistics Statistical models Regression analysis
62	Microsoft Word - Sage book12b.doc Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:15 Regression analysis Categorical data Estimation theory Latent class model Akaike information criterion Linear regression Latent variable Economic model Local independence Statistics Econometrics Statistical models
63	Microsoft Word - Sage book12b.doc Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:15 Regression analysis Categorical data Estimation theory Latent class model Akaike information criterion Linear regression Latent variable Economic model Local independence Statistics Econometrics Statistical models
64	Data Tables / Charts Methodology • The survey was conducted between 18th & 19th March 2015 among 2,013 adults (18+) in the UK. • Respondents were selected from among those who have agreed to Add to Reading List Source URL: client.harrisinteractive.co.uk Language: English - Date: 2015-03-19 20:08:48 Audio engineering Noise Sound Physics Weighting UK Independence Party
65	5 LATENT CLASS FACTOR AND CLUSTER MODELS, BI-PLOTS, AND RELATED GRAPHICAL DISPLAYS Jay Magidson* Jeroen K. Vermunt† Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:33 Multivariate statistics Categorical data Regression analysis Latent class model Latent variable Factor analysis Data analysis Local independence Confirmatory factor analysis Statistics Psychometrics Statistical models
66	Local independence Jeroen K. Vermunt & Jay Magidson Local independence is the basic assumption underlying latent variable models, such as factor analysis, latent trait analysis, latent class analysis, and latent profile Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:02 Statistical dependence Categorical data Econometrics Local independence Latent class model Latent variable model Item response theory Factor analysis Latent variable Statistics Statistical models Psychometrics
67	Semiparametric Regression Analysis of Longitudinal Data Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2007-05-23 04:29:02 Random variable European people Independence Probability and statistics Probability theory Mathematics Stefan Banach
68	Computing Science Group STABILITY OF THE MAHALANOBIS DISTANCE: A TECHNICAL NOTE Andrew D. Ker Add to Reading List Source URL: www.cs.ox.ac.uk Language: English - Date: 2010-10-28 12:27:13 Data analysis Normal distribution Multivariate normal distribution Independence Permutation Variance Errors and residuals in statistics Support Central limit theorem Statistics Probability theory Regression analysis
69	Using Bayesian Networks and Simulation for Data Fusion and Risk Analysis Martin Neil, Norman Fenton and David Marquez Queen Mary, University of London, and Agena Ltd, UK Abstract. Bayesian networks (BNs) were pioneered t Add to Reading List Source URL: www.agenarisk.com Language: English - Date: 2010-02-23 15:24:03 Mathematical analysis Bayesian statistics Graphical models Numerical analysis Bayesian network Discretization Marginal distribution Independence Bayesian inference Statistics Probability theory Probability and statistics
70	Heading Off Correlated Failures through Independence-as-a-Service Ennan Zhai† , Ruichuan Chen§ , David Isaac Wolinsky† , Bryan Ford† † Yale University § Bell Labs / Alcatel-Lucent Abstract Add to Reading List Source URL: dedis.cs.yale.edu Language: English - Date: 2014-09-11 08:11:10 Distributed computing Fault-tolerant computer systems Cloud computing Redundancy Data center Dependency graph Database Fault tree analysis Computing Reliability engineering Concurrent computing

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