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Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
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Cluster uncertainty in Linear Regression
Is it possible to introduce cluster probabilities into a regression?
Consider the Old Faithful Geyser data set. Most clustering algorithms find 2 clusters when analysing eruption times and waiting tim …
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Cook's distance for GLM
In Applied Logistic Regression by Hosmer, Lemeshow and Sturdivant (2013), the formula for Cook's distance in a logistic regression is given as,
$$\Delta\beta_j = \frac{r_{sj}^2h_j}{1-h_j}$$
where $r_{sj … However, in R I believe the Cook's distance for logistic regressions is adjusted by the number of parameters, $p$, in the model (including the intercept), i.e. …