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- Timestamp:
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Mar 30, 2011, 2:32:06 PM (14 years ago)
- Author:
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Víctor de Buen Remiro
- Comment:
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v8
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v9
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59 | 59 | * the identity as link function and mean function [[BR]] [[BR]] |
60 | 60 | [[LatexEquation( \eta = g\left(\mu\right)= \mu = g^{-1}\left(\eta\right) = \eta)]] [[BR]] [[BR]] |
61 | | * the density function has the variance as extra parameter[[BR]] [[BR]] |
62 | | [[LatexEquation( f\left(y;\mu, \sigma^2 \right) ) = \frac{1}{\sqrt{2\pi\sigma^{2}}}e^{^{-\frac{1}{2}\frac{\left(y-\mu\right)^{2}}{\sigma^{2}}}} )]] |
| 61 | * the log-density function has the variance as extra parameter[[BR]] [[BR]] |
| 62 | [[LatexEquation( \ln f\left(y;\mu,\sigma^{2}\right)= -\frac{1}{2}\ln\left(2\pi\sigma^{2}\right)-\frac{1}{2\sigma^{2}}\left(y}-\mu\right)^{2} )]] |
63 | 63 | |
64 | 64 | |
… |
… |
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73 | 73 | * the mean function [[BR]] [[BR]] |
74 | 74 | [[LatexEquation( \mu = g^{-1}\left(\eta\right)=\exp\left(\eta\right) )]] [[BR]] [[BR]] |
75 | | * the probability mass function [[BR]] [[BR]] |
76 | | [[LatexEquation( f\left(y;\mu \right) ) = \frac{1}{y!}e^{-\mu}\mu^{y} )]] |
| 75 | * the log-probability mass function [[BR]] [[BR]] |
| 76 | [[LatexEquation( \ln f\left(y;\mu\right)=-\ln\left(y!\right)+y\ln\left(\mu\right)-\mu = -\ln\left(y!\right)+y\eta-e^{\eta})]] |
77 | 77 | |
78 | 78 | |