When to use logit and probit models?

Binary Logistic Generalized Linear Mixed model in SPSS. Is it doable?

I want to analyses the proportion of swimming sperm of three species of fish in two salinities. To analyse the proportion of swimming sperm in a Generalized Linear Model, I would use a Binary...

03 March 2021 2,297 3 View

What analysis to choose with a large neste dataset and clearly skewed or kurtotic distributions?

Hello! I have a dataset of n=3000 nested within 8 countries with approximately 200 or 400 responses in each country. I originally planned to perform multilevel modelling with 4 dependent variables...

02 March 2021 6,865 1 View

How can we simulate an hyperelastic-viscoelastic behavor with Ansys APDL?

I am working on modeling and simulation of biomecanical material behaviour, I have succeded on simulating skin using anisotropic hyperelastic material, on APDL and in our lab's finite element...

28 February 2021 552 3 View

How could I take into consideration the weights of observation in a system of seemingly unrelated regressions (SUR) in rstudio?

I build a model of 4 regression equations (probit and OLS) in R studio. I need to take the weights of observations into consideration. While it is simple to do so for every regression equation,...

27 February 2021 1,233 1 View

Which books and review articles describe well the current state of deep reinforcement learning for the optimal control of physical processes?

I am going to treat in a lecture the application of deep reinforcement learning for the optimal control of physical processes. Therefore, I am looking for the best references. Besides the classics...

16 February 2021 1,006 6 View

How to know the threshold limit value of a sar image...??

i want to do thresholding by segregation of water areas from non water areas for that i am using model maker in ERDAS but i am unable to get the threshold limit value of my image.

26 January 2021 8,277 1 View

Why can I not find all of my residues in model predicted by Swiss-Model?

I am trying to perform homology modeling using the swiss-model but I have found that the swiss-model gives the same number of residues as that of the template. Whereas my sequence has more...

21 January 2021 5,568 3 View

Cause of an error in running ArcSWAT?

Hello and have a good time When running the SWAT model, I encounter the following image error. Is there anyone who can help me solve this problem?

18 January 2021 6,337 3 View

What is the need of having weights at the output layer of an RNN ?

In RNN, Yt is the output which is given by the equation; Yt = Why.ht where Why is the weight associated with the output layer and ht is the current state. What is the need of having this weight...

11 January 2021 8,710 4 View

How to adjust a covariate in meta-analysis?

Suppose I am meta-analyzing proportions using their logit transformations. We did a meta-regression of the covariates age, gender, and disease severity score in studies and get respective beta...

11 January 2021 9,409 4 View

Peter F. Colwell

When the dependent variable is zero or one. Or when the dependent variable is limited between zero or one. Or can be so transformed.

Jie Hu

Actually, both of them can be used.

Fernando Merino

The difference lies in the assumption you do for distribution of the error term (is it normal? -> Probit, is it logistic? -> logit).

Actually, for non-extreme values the results (meaning, the forecasts) are very very similar. Even more, there is a quite robust numerical relationship between the estimates with a probit and a logit model.

Idzhar Arbarizq

@Fernando Merino

Thank you, I thought it was enough to determine the largest value of the log likelihood obtained by each model. This is based on the objectives of the maximum likelihood method.