<--- Back to Details
First PageDocument Content
Statistics / Regression analysis / Probability distributions / Statistical models / Infinitely divisible probability distributions / Poisson processes / Poisson regression / Poisson distribution / Negative binomial distribution / Generalized linear model / Linear regression / Mixture model
Date: 2016-08-22 10:16:27
Statistics
Regression analysis
Probability distributions
Statistical models
Infinitely divisible probability distributions
Poisson processes
Poisson regression
Poisson distribution
Negative binomial distribution
Generalized linear model
Linear regression
Mixture model

MAYJAGGER AND ELSNER 869

Add to Reading List

Source URL: myweb.fsu.edu

Download Document from Source Website

File Size: 702,47 KB

Share Document on Facebook

Similar Documents

Introduction to R I. Using R for Statistical Tables and Plotting Distributions The R suite of programs provides a simple way for statistical tables of just about any probability distribution of interest and also allows f

DocID: 1v9SS - View Document

Multi-view Reconstruction of Highly Specular Surfaces in Uncontrolled Environments Supplementary Material A Probability distributions R3 . A multivariate t-distribution is a generalization of the

DocID: 1uv36 - View Document

Introduction to R I. Using R for Statistical Tables and Plotting Distributions The R suite of programs provides a simple way for statistical tables of just about any probability distribution of interest and also allows f

DocID: 1u0pS - View Document

Introduction to R I. Using R for Statistical Tables and Plotting Distributions The R suite of programs provides a simple way for statistical tables of just about any probability distribution of interest and also allows f

DocID: 1tSDN - View Document

Laplace Transform Inversion and Passage-Time Distributions in Markov Processes Peter G. Harrison Journal of Applied Probability, Vol. 27, No. 1. (Mar., 1990), ppStable URL: http://links.jstor.org/sici?sici=0021-

DocID: 1t5vZ - View Document