diff --git a/README.org b/README.org index 5b3e2128a9d16760d05887ff30ca248389965b79..c02f64aa88f0783a72e4e80c67627b05754eb84a 100644 --- a/README.org +++ b/README.org @@ -8,10 +8,10 @@ at [[https://studies2.hec.fr/jahia/webdav/site/hec/shared/sites/czellarv/acces_a On the fourth page of this article, they indicate that the maximum likelihood estimates of the logistic regression using only temperature -are: $\hat{\alpha}=5.085$ and $\hat{\beta}=-0.1156$ and their -asymptotic standard errors are $s_{\hat{\alpha}}=3.052$ and -$s_{\hat{\beta}}=0.047$. The Goodness of fit indicated for this model -was $G^{2}=18.086$ with 21 degrees of freedom. Our goal is to reproduce +are: $`\hat{\alpha}=5.085`$ and $`\hat{\beta}=-0.1156`$ and their +asymptotic standard errors are $`s_{\hat{\alpha}}=3.052`$ and +$s_{\hat{\beta}}=0.047`$. The Goodness of fit indicated for this model +was $`G^{2}=18.086`$ with 21 degrees of freedom. Our goal is to reproduce the computation behind these values and the Figure 4 of this article, possibly in a nicer looking way.