Distribución de valor extremo

Ajustar, evaluar y generar muestras aleatorias a partir de la distribución de valores extremos

Funciones

`makedist`	Crear objeto de distribución de probabilidad
`fitdist`	Ajustar el objeto de distribución de probabilidad a los datos
`distributionFitter`	Open Distribution Fitter app

`cdf`	Función de distribución acumulativa
`icdf`	Inverse cumulative distribution function
`iqr`	Interquartile range
`mean`	Mean of probability distribution
`median`	Median of probability distribution
`negloglik`	Negative loglikelihood of probability distribution
`paramci`	Intervalos de confianza para los parámetros de distribución de probabilidad
`pdf`	Función de densidad de probabilidad
`proflik`	Profile likelihood function for probability distribution
`random`	Números aleatorios
`std`	Standard deviation of probability distribution
`truncate`	Truncate probability distribution object
`var`	Variance of probability distribution

`evcdf`	Extreme value cumulative distribution function
`evpdf`	Extreme value probability density function
`evinv`	Extreme value inverse cumulative distribution function
`evlike`	Extreme value negative log-likelihood
`evstat`	Extreme value mean and variance
`evfit`	Extreme value parameter estimates
`evrnd`	Extreme value random numbers

Objetos

ExtremeValueDistribution Extreme value probability distribution object

Temas

Extreme Value Distribution

Extreme value distributions are often used to model the smallest or largest value among a large set of independent, identically distributed random values representing measurements or observations.

Documentación de Statistics and Machine Learning Toolbox

Soporte

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

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