Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich

Source URL: www.zora.uzh.ch

• Statistics
• Regression analysis
• Estimation theory
• Actuarial science
• Statistical models
• Logistic regression
• Prediction
• Linear regression
• Generalized linear model
• Software quality
• Software testing
• Artificial neural network

Generalized Linear Models The Probit Model in Practice Using Zelig Some Common Questions The Latent Regression Formulatio Section 6: Dichotomous Outcomes and Presenting Quantities of Interest1 March 1, 2012

Source URL: www.jenpan.com

Fitting GLMMs with glmmsr Helen Ogden Introduction Generalized linear mixed models (GLMMs) are an important and widely-used model class. In R, it is possible to fit these models with the lme4 package (Bates et al. 2015),

Source URL: mran.revolutionanalytics.com

Contemporary Mathematics Basic Theory for Generalized Linear Solid Viscoelastic Models Joyce McLaughlin, Ashley Thomas, and Jeong-Rock Yoon Abstract. In this paper, we consider the generalized linear solid model of visc

Source URL: www.iprpi.rpi.edu

Generalized Linear Mixed Models (illustrated with R on Bresnan et al.’s datives data) Christopher Manning 23 November 2007 In this handout, I present the logistic model with fixed and random effects, a form of Generali

Source URL: nlp.stanford.edu

A stochastic rank ordered logit model for rating multi-competitor games and sports Mark E. Glickman∗ Jonathan Hennessy

Source URL: www.glicko.net

• Statistics
• Statistical theory
• Statistical models
• Bayesian statistics
• Regression analysis
• Estimation theory
• Cluster analysis
• Mixture model
• Generalized linear model
• Logit
• Bayesian inference
• Logistic regression

Regionalization of Streamflow Characteristics for the Gulf-Atlantic Rolling Plains Using Leverage-Guided Region-of-Influence Regression

Source URL: profile.usgs.gov

• Linear regression
• Errors and residuals in statistics
• General linear model
• Generalized least squares
• Hydrology
• Statistics
• Regression analysis
• Leverage

Assessing a double hierarchical generalized linear model and other shrinkage methods in prediction using highdimensional genomic data Authors: Ying Fang Supervisor: Xia Shen

Source URL: www.statistics.du.se

• Statistical methods
• Classical genetics
• Estimation theory
• Genome-wide association study
• Least squares
• Bias of an estimator
• Quantitative trait locus
• Best linear unbiased prediction
• Genetic association
• Statistics
• Genetics
• Regression analysis

Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University.

Source URL: ftp.cixug.es

• Estimation theory
• R
• Linear regression
• Principal component analysis
• Plot
• Multivariate adaptive regression splines
• Generalized additive model for location
• scale and shape
• Statistics
• Regression analysis
• Econometrics

Jordan Journal of Mathematics and Statistics (JJMS) 4(1), 2011, ppLONGITUDINAL DATA ANALYSIS USING GENERALIZED MAXIMUM ENTROPY APPROACH MOHAMMAD Y. AL-RAWWASH(1) AND AMJAD D. AL-NASSER(2)

Source URL: journals.yu.edu.jo

• Estimation theory
• Maximum likelihood
• Generalized linear model
• Normal distribution
• Principle of maximum entropy
• Ordinary least squares
• Entropy
• Standard deviation
• Statistics
• Statistical theory
• Regression analysis