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Count Data Modelling
Intro Page
Data Analysis-Data Mining
Mathematical Statistics
Statistical Theory
Stochastic Processes and Probability Theory
Linear Regression Analysis and Analysis of Variance
GLM's and Applied Statistical Methodology
Multivariate Statistics
Bayesian Statistics
Non-Parametric Statistics
Computational Statistics, Simulation
Time Series Analysis
Statistical Qualit y Control
Robust Statistics
Longitudinal Data Analysis
Medical Statistics
Statistics of the Environment/ Ecology
Social Statistics
Statistical PACKAGES
Statistical Applets and Calculators

Counts and Proportions: Logistic and Log-linear Models by Brian D. Ripley -58 slides-

Poisson Models for Count Data by G.Rodriguez -14 pages-

Analysing count data: Poisson errors by M.J. Crawley - 34 pages -

Poisson regression models by Clarice Garcia Borges Demétrio - 50 slides -

Poisson regression by Claudia Czado -31 slides-

GLM for Poisson Data lecture notes by Dipankar Bandyopadhyay - 49 slides -

Handling Overdispersion with Negative Binomial and Generalized Poisson Regression Models by Noriszura Ismail and Abdul Aziz Jemain -56 pages-

Models for count data: Poisson and negative binomial by Kenneth Benoit - 20 slides -

Negative Binomial Regression Models and Estimation Methods by Dominique Lord and Byung-Jung Park -15 pages-

Zero-Inflated Poisson Regression by Adam Rahman - 20 slides -

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