[muhat, sigmahat] = normfit(x)
[muhat, sigmahat, muci, sigmaci] = normfit(x, alpha)
[muhat, sigmahat, muci, sigmaci] = normfit(x, alpha, censoring, freq)
[muhat, sigmahat, muci, sigmaci] = normfit(x, alpha, censoring, freq, options)
| Parameter | Description |
|---|---|
| x | finite real nonempty vector or matrix: sample data. |
| alpha | scalar in the range [0, 1]: significance level. Default is 0.05. |
| censoring | array containing 0 or 1 values: right-censoring flags. |
| freq | array of nonnegative finite values: observation frequencies. |
| options | structure created by statset. MaxIter and TolX control censored-data optimization. |
| Parameter | Description |
|---|---|
| muhat | array: mean estimates. |
| sigmahat | array: standard deviation estimates. |
| muci | array: confidence intervals for mean estimates. |
| sigmaci | array: confidence intervals for standard deviation estimates. |
normfit estimates normal distribution mean and standard deviation parameters.
x = [-2 -1 0 1 3 5];
[muhat, sigmahat] = normfit(x);| Version | Description |
|---|---|
| 2.0.0 | initial version |