Generates estimates of the lower and upper bound along with their 95% confidence intervals for a given set of uniformly distributed data.

Syntax

Llim, Ulim, MeanCof, StdCof = UnifFit(Data)

Argument

Name

Description

Data

A vector of data.

Outputs

Name

Description

Llim

Estimation of the lower bound.

Ulim

Estimation of the upper bound.

MeanCof

95% confidence interval of the estimate of the lower bound.  A two element column vector with the first and the second being the lower and upper bound of the confidence interval, respectively.

StdCof

95% confidence interval of the estimate of the upper bound.  A two element column vector with the first and the second being the lower and upper bound of the confidence interval, respectively.

Example

For a given dataset (stored in vector data), find the lower bound, upper bound, and their confidence intervals assuming uniform distribution:

Syntax

a, b, acof, bcof = UnifFit(data)

Result

a and b contain estimates of the lower and upper bound, respectively.

acof is a 2x1 vector with acof(1) being the lower and acof(2) being the upper interval of the 95% confidence interval of the lower bound of the distribution.

bcof is a 2x1 vector with bcof(1) being the lower and bcof(2) being the upper interval of the 95% confidence interval of the upper bound of the distribution.

See Also:

NormPDF

UnifPDF

NormCDF

UnifCDF

NormFit