nlogL = unidlike(n, x)
[nlogL, avar] = unidlike(n, x)
| Parameter | Description |
|---|---|
| n | positive integer scalar: maximum value. |
| x | positive integer finite real nonempty array: sample data. |
| Parameter | Description |
|---|---|
| nlogL | scalar: negative log-likelihood. |
| avar | scalar: asymptotic variance estimate. |
unidlike returns the negative log-likelihood for discrete uniform distribution data.
x = [1 2 4 5 5];
[nlogL, avar] = unidlike(5, x);
| Version | Description |
|---|---|
| 2.0.0 | initial version |