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Multinomial
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121	MIXNO: a computer program for mixed-e®ects nominal logistic regression Donald Hedeker Division of Epidemiology and Biostatistics & Health Policy and Research Centers School of Public Health University of Illinois at Chi Add to Reading List Source URL: www.uic.edu Language: English - Date: 1999-10-15 18:17:44 Logistic regression Multinomial logit Multivariate normal distribution Dummy variable Statistical model Statistics Regression analysis Econometrics
122	ECE 102: Digital Circuit Logic Add to Reading List Source URL: www.engr.colostate.edu Language: English - Date: 2013-09-24 15:44:08 Probability distribution Multinomial distribution Bernoulli process Geometric distribution Moment Bayesian statistics Outline of probability Convolution of probability distributions Statistics Probability theory Probability and statistics
123	Discovering Predictors of Mental Health Service Utilization with k-support Regularized Logistic Regression Hakim Sidahmed, Elena Prokofyeva, Matthew Blaschko To cite this version: Add to Reading List Source URL: hal.inria.fr Language: English - Date: 2015-04-07 14:47:10 Regularization Elastic net regularization Logistic regression Tikhonov regularization Stepwise regression Feature selection Multicollinearity Spurious relationship Multinomial logit Statistics Regression analysis Least squares
124	The American Review of Public Administration http://arp.sagepub.com/ Empowering Public Sector Employees to Improve Performance: Does It Work? Sergio Fernandez and Tima Moldogaziev Add to Reading List Source URL: drh.tecnico.ulisboa.pt Language: English - Date: 2014-01-16 09:16:11 Organizational behavior Management Empowerment Sociology Expectancy theory Logistic regression Job satisfaction Multinomial logit Statistics Regression analysis Econometrics
125	(Reprinted from the 2010 American Statistical Association Proceedings with Edits) Correlated Component Regression: A Prediction/Classification Methodology for Possibly Many Features Jay Magidson Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-03-09 08:57:01 Logistic regression Principal component regression Linear discriminant analysis Separation Multicollinearity Stepwise regression Standardized coefficient Least squares Multinomial logit Statistics Regression analysis Linear regression
126	CHAPTER 1. OVERVIEW CHAPTER 1. OVERVIEW 1.1 Latent Class, Finite Mixture Modeling, and Beyond Add to Reading List Source URL: statisticalinnovations.com Language: English Statistical models Psychometrics Categorical data Latent class model Latent variable model Structural equation modeling Linear regression Logistic regression Multinomial logit Statistics Regression analysis Econometrics
127	Modelling Departure Time Choices by a Heteroskedastic Generalized Logit (Het-GenL) Model: An Investigation on Home-Based Commuting Trips in the Greater Toronto and Hamilton Area (GTHA) Add to Reading List Source URL: www.dmg.utoronto.ca Language: English - Date: 2014-09-04 20:27:56 Econometrics Regression analysis Categorical data Transportation planning Discrete choice Choice modelling Mixed logit Multinomial logit Mode choice Statistics Economics Statistical models
128	Microsoft Word - POEN347_Final Add to Reading List Source URL: larrywillmore.net Language: English - Date: 2011-05-10 04:43:05 Econometrics Statistical models Dummy variable Logistic regression Multinomial logit Choice modelling Multinomial Multicollinearity Inheritance Regression analysis Statistics Economics
129	Temporal Multinomial Mixture for Instance-oriented Evolutionary Clustering Young-Min Kim† , Julien Velcin‡ , St´ephane Bonnevay‡ , and Marian-Andrei Rizoiu‡ † Add to Reading List Source URL: www.rizoiu.eu Language: English - Date: 2015-02-12 03:10:57 Cluster analysis K-means clustering Probabilistic latent semantic analysis Latent Dirichlet allocation Dynamic topic model Mixture model Spectral clustering Unsupervised learning Document clustering Statistics Machine learning Statistical natural language processing
130	Proceedings of the Twenty-First International Conference on Machine Learning, pages, A Maximum Entropy Approach to Species Distribution Modeling Steven J. Phillips AT&T Labs − Research, 180 Park Avenue, Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-12-17 09:42:24 Econometrics Bayesian statistics Ecology Environmental niche modelling Information science Scientific modeling Prior probability Principle of maximum entropy Multinomial logit Statistics Probability and statistics Probability

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