Timeline for Logistic regression output and probability
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
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| Dec 8, 2015 at 22:26 | comment | added | Glen_b | @Mitch They are! The probit link function is often used in place of the logit in Bernoulli(/binomial) glms, for example (and it's not the only one; many stats packages offer the complementary-log-log link function, which is another cdf). I'm pretty sure your edited question is now a duplicate though. | |
| Dec 8, 2015 at 17:40 | comment | added | Sycorax♦ | Using the CDF of a normal curve is explicitly not logistic regression, as it does not use a logistic function. Models using the normal CDF are called probit. Yet another kind of -obit model is the robit, which uses the Cauchy CDF. | |
| Dec 8, 2015 at 16:52 | comment | added | Mitch | I think what I'm trying to get at is why aren't other similarly shaped curves not measures of probability? Like $f(2x) = \frac{\tanh(x)+1}{2}$, or the CDF of the normal curve? | |
| Dec 4, 2015 at 9:54 | history | answered | Glen_b | CC BY-SA 3.0 |