unifit

Continuous uniform parameter estimates

📝Syntax

[aHat, bHat] = unifit(x)
[aHat, bHat, aCI, bCI] = unifit(x)
[aHat, bHat, aCI, bCI] = unifit(x, alpha)

📥Input Arguments

Parameter	Description
x	real vector or matrix: sample data.
alpha	scalar in [0, 1]: significance level. The default is 0.05.

📤Output Arguments

Parameter	Description
aHat	row vector: lower endpoint estimates.
bHat	row vector: upper endpoint estimates.
aCI	2-by-n array: confidence intervals for lower endpoints.
bCI	2-by-n array: confidence intervals for upper endpoints.

📄Description

unifit returns maximum likelihood estimates for continuous uniform endpoint parameters.

Vector inputs are treated as one sample. Matrix inputs are processed column by column.

💡Examples

x = [2 5 3 4];
[aHat, bHat, aCI, bCI] = unifit(x);
[aHat2, bHat2] = unifit([1 2; 3 4; 4 9]);

🕔Version History

Version	Description
2.0.0	initial version