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Unformatted text preview: ies approximation,
o log o
e ≈ (o − e) + 1 (o − e)2
ei ≈2 (oi − ei ) +
2 i (oi − ei )2
ei (oi − ei )2
ei Shows that D and X 2 are closely related.
Gets compare with χ2n−p) where p = number of ﬁtted
UNM Minimal model with no covariates,
log (λi ) = log (ηi ) + β0
If l (bmin ) is the maximum likelihood under this model.
l (b) the max. likelihood of a model with p parameters.
Likelihood chi-square statistic,
C = 2[l (b) − l (bmin )]
pseudo R 2 me...
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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