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Logistic distribution
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#	Item
1	s11284yca-web Add to Reading List Source URL: www.lmcarrascal.eu Language: English - Date: 2011-03-04 09:47:52 Regression analysis Statistics Knowledge Ecology Academia Estimation theory Biodiversity Species distribution Bird atlas The EBCC Atlas of European Breeding Birds Ornithology Logistic regression
2	CALCULATING MARGINAL PROBABILITIES IN PROC PROBIT Guy Pascale, Memorial Health Alliance Introduction The PROBIT procedure within the SAS system provides a simple method for estimating discrete choice Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Statistics Probability distributions Single-equation methods Regression analysis Statistical models Estimation theory Logit Discrete choice Probit Logistic distribution Normal distribution Linear probability model
3	FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D3.3.1 Tools for mining non-stationary data - v2 Clustering Add to Reading List Source URL: www.trendminer-project.eu Language: English - Date: 2014-05-02 17:17:44 Statistical natural language processing Machine learning Statistics Artificial intelligence Topic model Latent Dirichlet allocation Gibbs sampling Multinomial logistic regression Dynamic topic model Dirichlet-multinomial distribution
4	Chapter 2 A Theory of Data At first glance, it would seem that we have an infinite way to collect data. Measuring the diameter of the earth by finding the distance to the horizon, measuring the height of waves Add to Reading List Source URL: personality-project.org Language: English - Date: 2010-09-18 13:44:48 Statistics Mathematical analysis Analysis Probability distributions Functions and mappings Statistical analysis Statistical theory Normal distribution Matrix Data transformation Logistic function Maximum likelihood estimation
5	Paper P254-25 Performing Exact Logistic Regression with the SAS R System Robert E. Derr, SAS Institute Inc., Cary, NC The “METHODOLOGY” section in this paper presents the logistic regression model and the different Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Statistics Statistical theory Estimation theory Statistical tests Regression analysis Econometrics Logistic regression Likelihood function Exact test Normal distribution Likelihood-ratio test Sufficient statistic
6	A new mathematical representation of demand using choice-based optimization method Meritxell Pacheco Paneque Shadi Sharif Azadeh Michel Bierlaire Add to Reading List Source URL: www.strc.ch Language: English - Date: 2016-06-11 09:55:49 Choice modelling Operations research Statistical models Environmental economics Discrete choice Mathematical optimization Mathematical model Linear programming Probability distribution Logistic regression Economic model
7	Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction Shay B. Cohen and Noah A. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:48 Probability distributions Variational Bayesian methods Dirichlet distribution Expectationmaximization algorithm Gamma distribution Latent Dirichlet allocation Multinomial distribution Normal distribution Bayesian network Dirichlet process Mixture model Exponential family
8	Department of Mathematics J. J. Strossmayer University of Osijek Series: Technical Reports Application of growth functions Add to Reading List Source URL: www.mathos.unios.hr Language: English - Date: 2014-08-17 04:12:06 Probability distributions Curves Special functions Normal distribution Logistic function Logarithm
9	Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005 Add to Reading List Source URL: www.idep.eco.usi.ch Language: English - Date: 2012-01-04 14:50:59 Statistical models Regression analysis Choice modelling Discrete choice Mode choice Mixed logit Probability distribution Multinomial logistic regression Logistic regression Likelihood function Mixture model Gibbs sampling
10	A method to account for and estimate underreporting in crash frequency research Add to Reading List Source URL: cfariss.com Language: English - Date: 2016-07-13 20:49:51 Statistical models Regression analysis Econometrics Probability distributions Generalized linear models Overdispersion Poisson regression Logistic regression Binomial regression Negative binomial distribution Bayesian network Discrete choice