Half-normal probability distribution object
A HalfNormalDistribution
object consists of parameters, a
model description, and sample data for a half-normal probability
distribution.
The half-normal distribution is a special case of the folded normal and truncated normal distribution. Applications of the half-normal distribution include modeling measurement data and lifetime data.
The half-normal distribution uses the following parameters:
Parameter | Description | Support |
---|---|---|
mu | Location | |
sigma | Scale |
For more information about the half-normal distribution, see Half-Normal Distribution.
There are several ways to create a HalfNormalDistribution
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 |
[1] Cooray, K. and M.M.A. Ananda. “A Generalization of the Half-Normal Distribution with Applications to Lifetime Data.” Communications in Statistics – Theory and Methods. Vol. 37, Number 9, 2008, pp. 1323–1337.
[2] Pewsey, A. Large-Sample Inference for the General Half-Normal Distribution. Communications in Statistics – Theory and Methods. Vol. 31, Number 7, 2002, pp. 1045–1054.