Description Usage Arguments Details Value References See Also Examples
The maximum likelihood estimates of shape
and scale
are calculated by
calling mlgamma
on the transformed data.
1 |
x |
a (non-empty) numeric vector of data values. |
na.rm |
logical. Should missing values be removed? |
... |
passed to |
For the density function of the Nakagami distribution see Nakagami.
mlgamma
returns an object of class
univariateML
. This is a named numeric vector with maximum
likelihood estimates for shape
and rate
and the following
attributes:
|
The name of the model. |
|
The density associated with the estimates. |
|
The loglikelihood at the maximum. |
|
The support of the density. |
|
The number of observations. |
|
The call as captured my |
Choi, S. C, and R. Wette. "Maximum likelihood estimation of the parameters of the gamma distribution and their bias." Technometrics 11.4 (1969): 683-690.
Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 1, Chapter 17. Wiley, New York.
Nakagami for the Nakagami distribution.
GammaDist for the closely related Gamma density.
See mlgamma
for the machinery underlying this function.
1 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.