Linked Questions

0 votes
0 answers

raw residual in GLM does not make sense? [duplicate]

The raw residual is defined as $r_i = y_i - \hat{y}_i$. Why raw residual does not make sense in GLM? Why do we have to standardize it to Pearson residuals?
WCMC's user avatar
  • 1,058
44 votes
2 answers

Interpretation of plot (glm.model)

Can anyone tell me how to interpret the 'residuals vs fitted', 'normal q-q', 'scale-location', and 'residuals vs leverage' plots? I am fitting a binomial GLM, saving it and then plotting it.
Summer's user avatar
  • 441
42 votes
3 answers

Interpreting residual diagnostic plots for glm models?

I am looking for guidelines on how to interpret residual plots of glm models. Especially poisson, negative binomial, binomial models. What can we expect from these plots when the models are "correct"...
Tal Galili's user avatar
  • 21.1k
19 votes
1 answer

Log-linked Gamma GLM vs log-linked Gaussian GLM vs log-transformed LM

From my results, it appears that GLM Gamma meets most assumptions, but is it a worthwhile improvement over the log-transformed LM? Most literature I've found deals with Poisson or Binomial GLMs. I ...
TLJ's user avatar
  • 968
2 votes
1 answer

What to do with GLM (Gamma) when residuals are not normally distributed?

Until now I have only done very basic/simple simple stats, but now I got stuck in all the literature/tips/forums ... It's about the following problem: I have the following data: ...
Lotw's user avatar
  • 123
4 votes
2 answers

Why do qq-plots appear to show normal residuals from a GAM when the underlying distribution is not normal?

Say you do this in R: g <- rgamma(5000, 4) t <- rt(5000, 5) So, now you've got data from the gamma and $t$-...
Sarah's user avatar
  • 41
6 votes
2 answers

GLM diagnostics and Deviance residual

From my understanding, the deviance residual of a GLM model, when plotted against the fitted values, should give a scatterplot distributed with mean 0 and constant variance? Does this hold for any GLM ...
Monado's user avatar
  • 61
5 votes
3 answers

Should I use a linear mixed model or a generalized mixed model?

I have a test dataset with repeated measures, different individuals sampled at different time points, here measured in days. I want to know if I should use a GLMM or a LMM to see how well, if at all, ...
user250071's user avatar
3 votes
0 answers

Interpretation of two residual QQ plots from poisson regression [duplicate]

I have what I believe are an interesting QQ plot of the residuals of some sports data fitted using Poisson regression. My model is actually a live model to predict the number of remaining events in ...
Erosennin's user avatar
  • 1,704
4 votes
1 answer

Why doesn't a binomial GLM successfully fix violated assumptions of simulated binomial data?

I generated binomial data showing a logistic correlation to a predictor. I analysed such dataset with a generalised linear model which assumes a binomial distribution of residuals and a "logit&...
Marco Plebani's user avatar
1 vote
0 answers

In what context are residuals from a plot important? [duplicate]

Plot with residual I have a plot that has residuals vertically dashed to the regression line. I also am using the function resid to derive all residuals. I am not entirely sure what good is finding ...
Jacob's user avatar
  • 11