Poisson Regression Notes

96se i expi 196se i unm fitted values are computed

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: ariate i is exp(βi ). An approximate 95 % confidence interval for the RR is ˆ ˆ ˆ ˆ (exp(βi − 1.96SE (βi )), exp(βi + 1.96SE (βi ))) UNM Fitted values are computed as ˆ ˆ ˆ ˆ ˆ Yi = ηi exp(β0 + β1 Xi 1 + β2 Xi 2 + . . . + βp Xip ) also denoted as ei (expected values). ˆ These provide estimates of λi for each observation i , (λi ). Pearson residuals, ri = Yi − ei ; i = 1, 2, . . . , n √ ei Goodness of fit statistic, X2 = ri2 = i i (Yi − ei )2 ei UNM Deviance statistic for Poisson model Saturated model. Model w...
View Full Document

This note was uploaded on 01/27/2014 for the course STAT 574 taught by Professor Gabrielhuerta during the Fall '13 term at New Mexico.

Ask a homework question - tutors are online