Inverse Gaussian probability distribution object
An InverseGaussianDistribution
object consists of
parameters, a model description, and sample data for an inverse Gaussian probability
distribution.
Also known as the Wald distribution, the inverse Gaussian is used to model nonnegative positively skewed data. Inverse Gaussian distributions have many similarities to standard Gaussian (normal) distributions, which lead to applications in inferential statistics.
The inverse Gaussian distribution uses the following parameters.
Parameter | Description | Support |
---|---|---|
mu | Scale parameter | |
lambda | Shape parameter |
There are several ways to create a InverseGaussianDistribution
probability distribution object.
Create a distribution with specified parameter values using makedist
.
Fit a distribution to data using fitdist
.
Interactively fit a distribution to data using the Distribution Fitter app.
cdf | Cumulative distribution function |
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 | Confidence intervals for probability distribution parameters |
pdf | Probability density function |
proflik | Profile likelihood function for probability distribution |
random | Random numbers |
std | Standard deviation of probability distribution |
truncate | Truncate probability distribution object |
var | Variance of probability distribution |