explike
              Negative log-likelihood for the exponential distribution.
 nlogL = explike (mu, x) returns the negative
 log likelihood of the data in x corresponding to the exponential
 distribution with mean parameter mu.  x must be a vector of
 non-negative values, otherwise NaN is returned.
 [nlogL, avar] = explike (mu, x) also
 returns the inverse of Fisher’s information matrix, avar.  If the input
 mean parameter, mu, is the maximum likelihood estimate, avar is
 its asymptotic variance.
 […] = explike (mu, x, censor) accepts a
 boolean vector, censor, of the same size as x with 1s for
 observations that are right-censored and 0s for observations that are
 observed exactly.  By default, or if left empty,
 censor = zeros (size (x)).
 […] = explike (mu, x, censor, 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)).
A common alternative parameterization of the exponential distribution is to use the parameter defined as the mean number of events in an interval as opposed to the parameter , which is the mean wait time for an event to occur. and are reciprocals, i.e. .
Further information about the exponential distribution can be found at https://en.wikipedia.org/wiki/Exponential_distribution
See also: expcdf, expinv, exppdf, exprnd, expfit, expstat
Source Code: explike