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Weibull Distribution

Fit, evaluate, and generate random samples from Weibull distribution

Functions

makedistCreate probability distribution object
fitdistFit probability distribution object to data
distributionFitterOpen Distribution Fitter app
cdfCumulative distribution functions
icdfInverse cumulative distribution functions
iqrInterquartile range
meanMean of probability distribution
medianMedian of probability distribution
negloglikNegative log likelihood of probability distribution
paramciConfidence intervals for probability distribution parameters
pdfProbability density functions
proflikProfile likelihood function for probability distribution
randomRandom numbers
stdStandard deviation of probability distribution
truncateTruncate probability distribution object
varVariance of probability distribution
wblcdfWeibull cumulative distribution function
wblpdfWeibull probability density function
wblinvWeibull inverse cumulative distribution function
wbllikeWeibull negative log-likelihood
wblstatWeibull mean and variance
wblfitWeibull parameter estimates
wblrndWeibull random numbers

Using Objects

WeibullDistributionWeibull probability distribution object

Examples and How To

Fit Probability Distribution Objects to Grouped Data

This example shows how to fit probability distribution objects to grouped sample data, and create a plot to visually compare the pdf of each group.

Compare Multiple Distribution Fits

This example shows how to fit multiple probability distribution objects to the same set of sample data, and obtain a visual comparison of how well each distribution fits the data.

Concepts

Weibull Distribution

The Weibull pdf is an appropriate analytical tool for modeling the breaking strength of materials. Current usage also includes reliability and lifetime modeling.

Grouping Variables

Grouping variables are utility variables used to group or categorize observations.

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