Poisson Regression Notes

Gets compare with 2np where p number of tted

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Unformatted text preview: ies approximation, o log o e ≈ (o − e) + 1 (o − e)2 2 e Therefore, D=2 oi i = i oi ei ≈2 (oi − ei ) + i 1 2 i (oi − ei )2 ei (oi − ei )2 = X2 ei Shows that D and X 2 are closely related. Gets compare with χ2n−p) where p = number of fitted ( parameters. 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.

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