Unformatted text preview: ariate i is exp(βi ).
An approximate 95 % conﬁdence interval for the RR is
(exp(βi − 1.96SE (βi )), exp(βi + 1.96SE (βi ))) UNM Fitted values are computed as
Yi = ηi exp(β0 + β1 Xi 1 + β2 Xi 2 + . . . + βp Xip )
also denoted as ei (expected values).
These provide estimates of λi for each observation i , (λi ).
ri = Yi − ei
; i = 1, 2, . . . , n
ei Goodness of ﬁt statistic,
X2 = ri2 =
i i (Yi − ei )2
UNM Deviance statistic for Poisson model
Saturated model. Model w...
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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.
- Fall '13
- Poisson Distribution