p = logncdf(x)
p = logncdf(x, mu, sigma)
[p, pLo, pUp] = logncdf(x, mu, sigma, pCov)
p = logncdf(..., 'upper')
| Parameter | Description |
|---|---|
| x | real scalar or array: values. |
| mu | real scalar or array: mean of logarithmic values. |
| sigma | positive scalar or array: standard deviation of logarithmic values. |
| pCov | 2-by-2 covariance matrix for confidence bounds. |
| Parameter | Description |
|---|---|
| p | array: cumulative probabilities. |
| pLo | array: lower confidence bounds. |
| pUp | array: upper confidence bounds. |
logncdf evaluates lognormal cumulative probabilities element by element.
p = logncdf([0 1 exp(1)]);
q = logncdf(exp(10), 'upper');| Version | Description |
|---|---|
| 2.0.0 | initial version |