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Generalized linear model
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201	Generalized linear and additive models Exercise 2 N O2 data from a road in Oslo Copy the data set NO.dat to your computer. This data set consists of 500 hourly observations (from the yearsof N O2 concent Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2012-10-17 18:03:09 Logarithm Regression analysis Statistics Additive model
202	Technical Guide for Latent GOLD 4.0: Basic and Advanced1 Jeroen K. Vermunt and Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-05-15 16:08:08 Econometrics Psychometrics Actuarial science Linear regression Latent class model Latent variable Generalized linear model Factor analysis Mixture model Statistics Regression analysis Statistical models
203	Model Uncertainty and Health Effect Studies for Particulate Matter Merlise Clyde NRCSE Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-08-14 12:46:03 Bayesian inference Bayesian statistics Regression analysis Generalized linear model Akaike information criterion Economic model Parameter Bayes factor Prior probability Statistics Model selection Actuarial science
204	Non-parametric Random-Effects Model Jeroen K. Vermunt & Jay Magidson Random-effects modeling is one of the several alternative approaches to deal with dependent observations such as that which occur in repeated measures Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:06 Econometrics Actuarial science Statistical inference Linear regression Non-parametric statistics Latent class model Mixture distribution Parametric model Generalized linear model Statistics Statistical models Regression analysis
205	C:umentsitt GEE Project_Gibbs_v1.DVI Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2013-08-05 02:19:34 Linear regression Maximum likelihood Logistic regression Statistical model Generalized estimating equation Poisson regression Statistics Regression analysis Generalized linear model
206	www.nr.no Generalized linear models in R Magne Aldrin, Norwegian Computing Center and the University of Oslo Sharp workshop, Copenhagen, October 2012 Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2012-10-17 18:02:34 Statistical models Categorical data Actuarial science Generalized linear model Linear regression Logit Logistic regression Poisson regression Linear model Statistics Regression analysis Econometrics
207	Generalized linear and additive models Exercise 3 Insurance data from two municipalities in Norway Copy the data set insurance.dat to your computer. This data set consists of 10 years of daily data with the number of wat Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2012-10-17 18:03:15 Actuarial science Statistical models Parametric statistics Generalized linear model Mean Poisson distribution Linear regression Variance Logarithm Statistics Regression analysis Econometrics
208	The Journal of Mental Health Policy and Economics J Ment Health Policy Econ 5, A Comparison of Methods to Handle Skew Distributed Cost Variables in the Analysis of the Resource Consumption in Schizophrenia T Add to Reading List Source URL: www.icmpe.org Language: English - Date: 2004-07-20 19:00:00 Linear regression Heteroscedasticity-consistent standard errors Heteroscedasticity Ordinary least squares Errors and residuals in statistics Instrumental variable Generalized linear model Power transform Homoscedasticity Statistics Regression analysis Econometrics
209	Generalized linear and additive models Exercise 1 Precipitation data from Tryvann, Oslo We will use the mgcv package. If you have not installed it yet; install it now. Load it into R by require(mgcv) or library(mgcv). Co Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2012-10-17 18:03:39 Logistic regression Generalized additive model Logit Nonparametric regression Statistics Regression analysis Additive model
210	Confidence and prediction intervals for generalised linear accident models G.R. Wood September 8, 2004 Department of Statistics, Macquarie University, NSW 2109, Australia Add to Reading List Source URL: stat.mq.edu.au Language: English - Date: 2009-07-18 23:01:14 Econometrics Poisson processes Measurement Prediction interval Poisson distribution Confidence interval Generalized linear model Normal distribution Confidence band Statistics Statistical inference Regression analysis

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