nlogL = explike(mu, x)
[nlogL, avar] = explike(mu, x)
[nlogL, avar] = explike(mu, x, censoring, freq)
| Parameter | Description |
|---|---|
| mu | positive scalar: exponential mean parameter. |
| x | nonnegative finite real nonempty array: sample data. |
| censoring | array containing 0 or 1 values: right-censoring flags. |
| freq | array of nonnegative finite values: observation frequencies. |
| Parameter | Description |
|---|---|
| nlogL | scalar: negative log-likelihood. |
| avar | scalar: asymptotic variance estimate. |
explike returns the negative log-likelihood for exponential distribution data and the asymptotic variance estimate.
x = [0.5 1 2 3 5 8];
[nlogL, avar] = explike(3.25, x);| Version | Description |
|---|---|
| 2.0.0 | initial version |