normlike
Negative log-likelihood for the normal distribution.
nlogL = normlike (params, data)
returns the
negative of the log-likelihood for the normal distribution, evaluated at
parameters params(1) = mean and params(2) = standard deviation,
given data. nlogL is a scalar.
[nlogL, avar] = normlike (params, data)
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 (params, data, censor)
accepts
a boolean vector of the same size as data that is 1 for observations
that are right-censored and 0 for observations that are observed exactly.
[…] = normlike (params, data, censor,
freq)
accepts a frequency vector of the same size as data.
freq typically contains integer frequencies for the corresponding
elements in data, but it may contain any non-integer non-negative
values. Pass in [] for censor to use its default value.
See also: normcdf, norminv, normpdf, normrnd, normfit, normstat
Source Code: normlike