Distribución exponencial

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

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

`expcdf`	Exponential cumulative distribution function
`exppdf`	Exponential probability density function
`expinv`	Exponential inverse cumulative distribution function
`explike`	Exponential negative log-likelihood
`expstat`	Exponential mean and variance
`expfit`	Exponential parameter estimates
`exprnd`	Números aleatorios exponenciales

Objetos

ExponentialDistribution Exponential probability distribution object

Temas

Exponential Distribution

The exponential distribution is special because of its utility in modeling events that occur randomly over time. The main application area is in studies of lifetimes.

Documentación de Statistics and Machine Learning Toolbox

Soporte

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

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