Categorical distribution

Results: 174



#Item
31Statistical inference / Categorical data / Regression analysis / Variance / Resampling / Poisson distribution / Normal distribution / Count data / F-test / Statistics / Statistical tests / Data analysis

Anders and Huber Genome Biology 2010, 11:R106 http://genomebiology.comR106 METHOD Open Access

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Source URL: www.genomebiology.com

Language: English
32Economic inequality / Regression analysis / Categorical data / Socioeconomics / Income inequality metrics / Gini coefficient / Ordered logit / Dummy variable / Logistic regression / Statistics / Income distribution / Economics

Microsoft Word - OKK091025 _3_

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Source URL: cis.ier.hit-u.ac.jp

Language: English - Date: 2014-07-01 09:05:49
33Categorical data / Actuarial science / Poisson regression / Generalized linear model / Negative binomial distribution / Binomial regression / Linear regression / Logistic regression / Statistics / Regression analysis / Econometrics

INTRODUCTION TO STATISTICAL MODELLING IN R P.M.E.Altham, Statistical Laboratory, University of Cambridge. January 7, 2015 Contents

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Source URL: www.statslab.cam.ac.uk

Language: English - Date: 2015-01-08 09:17:17
34Regression 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

Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2

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Source URL: statisticalinnovations.com

Language: English - Date: 2006-09-05 13:02:02
35Regression 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

Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2

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Source URL: statisticalinnovations.com

Language: English - Date: 2006-09-05 12:15:13
36Latent variable model / Econometrics / Categorical data / Statistical dependence / Latent class model / Latent variable / Item response theory / Observable variable / Probability distribution / Statistics / Statistical models / Psychometrics

Latent Variable Jeroen K. Vermunt & Jay Magidson Many constructs that are of interest to social scientists can not be observed directly. Examples are preferences, attitudes, behavioral intentions, and personality traits.

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Source URL: statisticalinnovations.com

Language: English - Date: 2006-09-05 12:11:51
37Actuarial science / Econometrics / Multivariate normal distribution / Z3 / Compositional data / Regression analysis / Logit / Statistics / Normal distribution / Categorical data

Statistical Analysis and Interpretation of Discrete Compositional Data Dean Billheimer Peter Guttorp

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Source URL: www.nrcse.washington.edu

Language: English - Date: 2001-08-14 12:45:13
38Statistical models / Actuarial science / Spatial data analysis / Poisson distribution / Generalized linear model / Overdispersion / Negative binomial distribution / Mixture model / Spatial analysis / Statistics / Regression analysis / Categorical data

Space-time zero-inflated count models of Harbor seals

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Source URL: alaskafisheries.noaa.gov

Language: English - Date: 2009-08-20 12:43:58
39Estimation theory / Categorical data / Regression analysis / Discrete choice / Maximum likelihood / Conjugate prior / Mixed logit / Multivariate normal distribution / Normal distribution / Statistics / Statistical models / Bayesian statistics

1 A re-examination of a widely-accepted Bayesian Mixed Logit estimator Alex Moore1 Department of Statistics, Macquarie University.

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Source URL: stat.mq.edu.au

Language: English - Date: 2009-07-18 23:01:11
40Medical statistics / Epidemiology / Categorical data / Odds ratio / Probability distribution / Variance / Odds / Interaction / Contingency table / Statistics / Data analysis / Probability theory

Correspondence Between and Odds Ratios in a 2 x 2 Contingency Table Size of effect w = OR* small .1 1.49 medium .3 3.45

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Source URL: core.ecu.edu

Language: English - Date: 2009-11-07 11:33:04
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