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Results tagged with likelihood
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user 265298
Given a random variable $X$ which arise from a parameterized distribution $F(X;θ)$, the likelihood is defined as proportional to the probability of observed data as a function of $θ$: $\operatorname{L}(θ | x)=\operatorname{P}(X=x \mid θ)$
1
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1
answer
107
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Log-likelihood using the link identity for poisson?
I understood the Log-likelihood using the link “log” for poisson, λ=exp(α+βx). But I can’t get the Log-likelihood in the case of “identity”, λ=α+βx. How do I get it?. … Log-likelihood using link=log for poisson, λ=exp(α+βx).
x=1,2,10
y=10,15,20
l(θ)=45α+240β−∑log(yi!)−exp(α+β)−exp(α+2β)−exp(α+10β) …
- 237
2
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2
answers
664
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Difference between binary and count data of same data on logistic regression in R [duplicate]
I confuse that the difference of Residuals deviance between binary and count data of the same data, by logistic regression in R. I'd like to know the way to calculate the both Residual deviance. Pleas …
- 237
0
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Difference between binary and count data of same data on logistic regression in R
I tried the case of proportion(=yes/yes+no), using above best answer. Yes, I got it.
But, I couldn’t understand the case without “weight=n”. A little bit more for complete understanding.
#-----with “ …
- 237
1
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0
answers
128
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Difference between with and without “weight” option of the same data on logistic regression ...
When estimating as the proportion without “weight=n”, I can’t understand how to estimate deviance(or log-likelihood). please give me some advice. …
- 237