Statistics: betalike

### Function Reference: `betalike`

statistics: nlogL = betalike (params, x)
statistics: [nlogL, avar] = betalike (params, x)

Negative log-likelihood for the Beta distribution.

`nlogL = betalike (params, x)` returns the negative log likelihood of the data in x corresponding to the Beta distribution with (1) shape parameter α and (2) shape parameter β given in the two-element vector params. Both parameters must be positive real numbers and the data in the range [0,1]. Out of range parameters or data return `NaN`.

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

The Beta distribution is defined on the open interval (0,1). However, `betafit` can also compute the unbounded beta likelihood function for data that include exact zeros or ones. In such cases, zeros and ones are treated as if they were values that have been left-censored at `sqrt (realmin)` or right-censored at `1 - eps/2`, respectively.

Further information about the Beta distribution can be found at https://en.wikipedia.org/wiki/Beta_distribution

See also: betacdf, betainv, betapdf, betarnd, betafit, betastat

Source Code: betalike