Linked Questions

2
votes
1answer
1k views

Probit or Logit in Generalized Linear Model [duplicate]

I'm trying to apply GLMs on a dataset in which dependent variable Y is dichotomous. I applied either logit and probit models, and probit fitted better than logit model. How do I justify the choice of ...
0
votes
1answer
332 views

What exactly are some fundamental differences between probit model and logistic regression [duplicate]

It seems that both these refer to cases where the regressed (dependent) variable can only take certain values, as opposed to a linear regression. So what is the difference between probit and logistic ...
1
vote
0answers
318 views

Generalized linear model v linear model [duplicate]

Bioinformatician here. I'm wondering what the main differences between both of these approaches is. I just want to clarify that a formal mathematical treatment would likely be too much for me. From ...
1
vote
0answers
269 views

Logit versus Probit [duplicate]

Possible Duplicate: Difference between logit and probit models I have data in which the response variable is binary. So, I fitted logit and probit models and obtained the results. How can I ...
1
vote
0answers
203 views

Meaning of link functions (GLM) [duplicate]

I am performing ordinal regression on several datasets, I have 5 ordered response categories and only one explanatory variable X. For each dataset I run the analysis 3 times, each time using a ...
2
votes
0answers
124 views

What is the meaning of the different links in the binomial family of a GLM model in R? [duplicate]

In the help of the glm command in R, I read the binomial family the links logit, probit, cauchit, (corresponding to logistic, normal and Cauchy CDFs respectively) log and cloglog (...
0
votes
0answers
29 views

Comparison between Logit and Probit models [duplicate]

I'm new in econometrics and I'm working in a probabilistic model and using Stata for this, but when I was going to compare the Logit and Probit I did not know which one win in this case, because there ...
0
votes
0answers
17 views

Logistic Regression variables [duplicate]

How is the the dependent variable transformed into probabilities in logistic regression during computations of the coefficients, given a strictly binary dependent variable?
271
votes
9answers
500k views

What is the difference between fixed effect, random effect and mixed effect models?

In simple terms, how would you explain (perhaps with simple examples) the difference between fixed effect, random effect and mixed effect models?
95
votes
5answers
32k views

Comprehensive list of activation functions in neural networks with pros/cons

Are there any reference document(s) that give a comprehensive list of activation functions in neural networks along with their pros/cons (and ideally some pointers to publications where they were ...
123
votes
3answers
259k views

What is the difference between linear regression and logistic regression?

What is the difference between linear regression and logistic regression? When would you use each?
55
votes
6answers
17k views

Alternatives to logistic regression in R

I would like as many algorithms that perform the same task as logistic regression. That is algorithms/models that can give a prediction to a binary response (Y) with some explanatory variable (X). ...
65
votes
4answers
33k views

What is the difference between a “link function” and a “canonical link function” for GLM

What's the difference between terms 'link function' and 'canonical link function'? Also, are there any (theoretical) advantages of using one over the other? For example, a binary response variable ...
53
votes
2answers
92k views

What does having “constant variance” in a linear regression model mean?

What does having "constant variance" in the error term mean? As I see it, we have a data with one dependent variable and one independent variable. Constant variance is one of the assumptions of linear ...
38
votes
2answers
86k views

Interpretation of R's output for binomial regression

I'm quite new on this with binomial data tests, but needed to do one and now I´m not sure how to interpret the outcome. The y-variable, the response variable, is binomial and the explanatory factors ...

15 30 50 per page