nlogL = uniflike(params, x)
[nlogL, avar] = uniflike(params, x, censoring, freq)
| Parameter | Description |
|---|---|
| params | two-element vector containing the lower and upper endpoints. |
| x | real nonempty array: sample data. |
| censoring | array with values 0 or 1. Default is all zeros. |
| freq | nonnegative finite array of observation frequencies. Default is all ones. |
| Parameter | Description |
|---|---|
| nlogL | scalar: negative log-likelihood. |
| avar | matrix: asymptotic covariance estimate. |
uniflike returns the negative log-likelihood for continuous uniform distribution data.
x = [2 5 3 4];
[nlogL, avar] = uniflike([1 6], x);| Version | Description |
|---|---|
| 2.0.0 | initial version |