The maximum likelihood estimate of rate
is the inverse sample mean.
Arguments
- x
a (non-empty) numeric vector of data values.
- na.rm
logical. Should missing values be removed? If
FALSE
, the function fails whenx
contains missing values.- ...
currently affects nothing.
Value
mlexp
returns an object of class
univariateML
.
This is a named numeric vector with maximum likelihood estimates for
rate
and the following attributes:
model
The name of the model.
density
The density associated with the estimates.
logLik
The loglikelihood at the maximum.
support
The support of the density.
n
The number of observations.
call
The call as captured my
match.call
Details
For the density function of the exponential distribution see Exponential.
References
Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 1, Chapter 19. Wiley, New York.
See also
Exponential for the exponential density.