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Birnbaum-Saunders Distribution

Fit, evaluate, and generate random samples from Birnbaum-Saunders distribution

Functions

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makedistCreate probability distribution object
fitdistFit probability distribution object to data
distributionFitterOpen Distribution Fitter app
cdfCumulative distribution function
gatherGather properties of Statistics and Machine Learning Toolbox object from GPU
icdfInverse cumulative distribution function
iqrInterquartile range
meanMean of probability distribution
medianMedian of probability distribution
negloglikNegative loglikelihood of probability distribution
paramciConfidence intervals for probability distribution parameters
pdfProbability density function
proflikProfile likelihood function for probability distribution
randomRandom numbers
stdStandard deviation of probability distribution
truncateTruncate probability distribution object
varVariance of probability distribution
mleMaximum likelihood estimates
mlecovAsymptotic covariance of maximum likelihood estimators

Objects

BirnbaumSaundersDistributionBirnbaum-Saunders probability distribution object

Topics

Birnbaum-Saunders Distribution

The Birnbaum-Saunders distribution was originally proposed as a lifetime model for materials subject to cyclic patterns of stress and strain, where the ultimate failure of the material comes from the growth of a prominent flaw.

Statistics and Machine Learning Toolbox Documentation

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Mastering Machine Learning: A Step-by-Step Guide with MATLAB

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