difference? The logit of a number p is the log-odds of any event whose probability is p. The difference would seem to be that the logit is the logit of a number...

Is Mixed Logit capitalized? It was used in every possible capitalization method in the article; in the interest of consistency, I capitalized all of them...

alternatively one could combine with multinomial logit (ordered logit is a special case of multinomial logit) to create multinomial regression? -3mta3 (talk)...

following comments to improve its quality: Mixed logit[9][10][19], - Allows any form of correlation and substitution patterns.[20] When a mixed logit is with...

There is considerable overlap between ordered logit and ordered probit, and it all could be conveniently placed in this article {possibly renamed as ordered...

historical/conceptual ties to Luce, McFadden, purification Logit QRE specifically Interpreting QRE (Logit specifically) Examples (Traveler's Dilemma?) Usefulness...

Is there a good reason to have seperate pages for ordered logit and probit? I see none, but the people who don't realize the difference is slight see...

stand on their own. These include logit, probit, and logistic regression. Check "what links here" to see that "logit" and "probit" are referenced outside...

think this article should be mergedb with logit Pdbailey 03:19, 20 April 2006 (UTC) Interesting question: the logit link function is the inverse of the logistic...

2.237.95 (talk) 01:01, 2 March 2011 (UTC) I changed "If the multinomial logit is used to model choices and the error terms are assumed to be independent...

it appears like, and it's likely to confuse some researchers (since two logit curves with the same slope may look nonuniform since they aren't parallel...

done using probit or logit maximum likelihood models. A commonly expressed difference between probit and logit models is that logit uses the logistical...

What is it that makes the logit link good for binary regression? Tradition, I'm afraid. -- Anonymous — Preceding unsigned comment added by 129.67.26.155...

explanation accompanying a reference to Discrete choice, which talks a lot about logit regression. AVM2019 (talk) 11:42, 30 May 2022 (UTC) Andrew Gelman argues...

non-closed support listed in their article. Those that I have found are: Logit-normal_distribution, Kumaraswamy_distribution, Wrapped_exponential_distribution...

issues in using these in time series as dependent variables. Models such as logit and probit assume that they independent over time but decisions re retirement...

details into the body. The logit article's summary might be a good example of keeping it simple. However, note that the logit article's body overall has...

tiny variations on a theme that you'll find in the literature. —Preceding unsigned comment added by 140.247.250.46 (talk) 19:42, 16 January 2009 (UTC)...

bounded, differentiable, real function [...]" whereas Logit#Comparison_with_probit states "The logit and probit are both sigmoid functions [...]". I don't...

they be merged. The primary portion of the logit page that I think bears inclusion in this page is the comment at the top regarding logistic regression...

the page on logistic regression. What is this meant to refer to? —Preceding unsigned comment added by 204.212.175.30 (talk) 19:28, 27 April 2011 (UTC)...

components that are present in all GLMs. Some people might think that probit and logit are worlds apart, but in this framework, it is clear that they are minor...

|editors= ignored (|editor= suggested) (help) I believe that (p-q)(logit(p) - logit(q))/2 is Jeffreys' divergence. The JSD does not usefully simplify from...

anything Genetic linkage#Lod score method for linkage should be linked with logit --Henrygb 00:17, 7 February 2007 (UTC) At the end of the paragraph there's...

given of a smoothed best response is the same response function used in Logit QRE. I was leaning to re-format the math here to match the standard presentation...

information, but sometimes one is easier to use than another. Try odds ratio, logit and logistic regression as examples. --Henrygb 20:55, 23 July 2006 (UTC)...

18:13, 4 February 2026 (UTC) Sadinle, Mauricio (2009-10-01). "Transformed Logit Confidence Intervals for Small Populations in Single Capture–Recapture Estimation"...

created a-priori or are a result of more general approaches that lead to a Logit/Gibbs equilibrium instead of Nash equilibrium, for example. Thus the fields...

econometrics and regression anaylsis, such as Guass-Markov, Method of Moments, Logit, Probit, Tobit, Standard Errors, and Heteroskedasticity... and they should...

of logit discrete choice considers its relationship to entropy in the thermodynamic sense. (This is unusual, mostly if entropy is addressed for logit it's...

marketing) conjoint analysis (in marketing) preference regression (in marketing) logit analysis (in marketing) Your mathematical expertise would be appreciated...

him/herself. This is irrespective of the above citation. — Preceding unsigned comment added by 134.147.168.152 (talk) 15:42, 4 August 2011 (UTC) I agree with...

existing literature appear to be due to the improper use of the classic logit (or probit) method despite the existence of the simultaneity problem' between...

different unit (the logit) for quantities that do not satisfy this criterion. Its closing sentence reads "It is hoped that [use of the logit] may be helpful...

face value, but can be transformed to a linear regression by way of the logit function. What language is there to talk about this sort of reformulation...

with US data. I've read the study, and the methodology is good (they use a logit multiple regression of high school graduation for 17-22 year olds on twenty...

Econometrics software (lots of fitting and goodness of fit parameters, logit, probit etc etc that are central to economentrics), Astronomical Software...

birth weight paradox -- Exponential random numbers -- Random multinomial logit -- Complementary event -- Exposure variable -- List of national and international...

regressions explicitly assume other distributions, of course. Probit and logit come to mind. 3. I've seen weighting procedures to adjust for skewed residuals...

seem to have been widely adopted though - it's not even mentioned on the logit page. --catslash (talk) 17:42, 1 August 2010 (UTC) I carefully checked the...

reviewing that, a reasonable approach (if not the best overall) uses the logit transform. I'm not prepared to do the research to confirm that these numbers...

discussed in Adams, Dow, and Merrill (2001, Appendix 2), the conditional logit choice probabilities Pi(D) and Pi(R) associated with voting for Dukakis...

would significantly reduce gun homicides ("Based on a simulation using the logit equation, replacing the medium- and large-caliber guns with small-caliber...