Pearson dispersion ratio
Definition taught in Generalised linear models in R, part of Using R
Pearson dispersion ratio
| Type | Definition |
| Taught in | Generalised linear models in R |
| Part | Using R |
For a fitted generalised linear model, the Pearson dispersion ratio is the Pearson chi-squared statistic divided by the residual degrees of freedom. For a Poisson model the summands are (y_i-\hat\mu_i)^2/\hat\mu_i. A ratio near 1 agrees with the variance function. A ratio far from 1 says that variance function is a poor description of these residuals.
Used in
- Taught in Generalised linear models in R, where the derivation and examples are.
- All 1 questions on Generalised linear models in R
See also
Generalised linear model · Pearson statistic · Degrees of freedom · Variance function · Variance