### Function Reference: `hnlike`

statistics: nlogL = hnlike (params, x)
statistics: [nlogL, acov] = hnlike (params, x)
statistics: [nlogL, acov] = hnlike (params, x, freq)

Negative log-likelihood for the half-normal distribution.

`nlogL = hnlike (params, x)` returns the negative log likelihood of the data in x corresponding to the half-normal distribution with (1) location parameter mu and (2) scale parameter sigma given in the two-element vector params.

`[nlogL, acov] = hnlike (params, x)` returns the inverse of Fisher’s information matrix, acov. If the input parameter values in params are the maximum likelihood estimates, the diagonal elements of params are their asymptotic variances.

`[…] = hnlike (params, x, freq)` accepts a frequency vector, freq, of the same size as x. freq typically contains integer frequencies for the corresponding elements in x, but it can contain any non-integer non-negative values. By default, or if left empty, `freq = ones (size (x))`.

The half-normal CDF is only defined for `x >= mu`.

Further information about the half-normal distribution can be found at https://en.wikipedia.org/wiki/Half-normal_distribution

See also: hncdf, hninv, hnpdf, hnrnd, hnfit, hnstat

Source Code: hnlike