explike
Exponential negative log-likelihood
Syntax
nlogL = explike(param,data)
[nlogL,avar] = explike(param,data)
[...] = explike(param,data,censoring)
[...] = explike(param,data,censoring,freq)
Description
nlogL = explike(param,data) returns the
negative of the log-likelihood for the exponential distribution. param is
the mean parameter, mu. nlogL is
a scalar.
[nlogL,avar] = explike(param,data) returns
the inverse of Fisher's information, avar, a scalar.
If the input parameter value in param is the maximum
likelihood estimate, avar is its asymptotic variance. avar is
based on the observed Fisher's information, not the expected information.
[...] = explike(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.
[...] = explike(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.
Extended Capabilities
Version History
Introduced before R2006a
