Statistics Toolbox™

normlike - Normal negative log-likelihood

Syntax

nlogL = normlike(params,data)
[nlogL,AVAR] = normlike(params,data)
[...] = normlike(param,data,censoring)
[...] = normlike(param,data,censoring,freq)

Description

nlogL = normlike(params,data) returns the negative of the normal log-likelihood function for the parameters params(1) = mu and params(2) = sigma, given the vector data.

[nlogL,AVAR] = normlike(params,data) also 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 AVAR are their asymptotic variances. AVAR is based on the observed Fisher's information, not the expected information.

[...] = normlike(param,data,censoring) accepts a Boolean vector, censoring, of the same size as data, which is 1 for observations that are right-censored and 0 for observations that are observed exactly.

[...] = normlike(param,data,censoring,freq) accepts a frequency vector, freq, of the same size as data. The vector freq typically contains integer frequencies for the corresponding elements in data, but can contain any nonnegative values. Pass in [] for censoring to use its default value.

normlike is a utility function for maximum likelihood estimation.

See Also

normfit, normpdf, normcdf, norminv, normstat, normrnd

norminv

normpdf