noclue_ wrote:
I have a one-variable data set in R.
The plot of histogram of my numerical variable suggests an inverse
gaussian distribution.
How can I obtain best estimation for the two parameters of inverse
gaussian based on my data?
Thanks.
See the examples for function pelp in packag
David Scott wrote:
Jorge Ivan Velez wrote:
Hi Tim,
Take a look at
http://bm2.genes.nig.ac.jp/RGM2/R_current/library/fBasics/man/dist-nigFit.html
HTH,
Jorge'
i don't think this is what the OP wanted. The nig is the normal inverse
Gaussian distribution, which is a special case of the general
Jorge Ivan Velez wrote:
Hi Tim,
Take a look at
http://bm2.genes.nig.ac.jp/RGM2/R_current/library/fBasics/man/dist-nigFit.html
HTH,
Jorge'
i don't think this is what the OP wanted. The nig is the normal inverse
Gaussian distribution, which is a special case of the generalized
inverse Gaussi
Hi Tim,
Take a look at
http://bm2.genes.nig.ac.jp/RGM2/R_current/library/fBasics/man/dist-nigFit.html
HTH,
Jorge'
On Sun, Dec 6, 2009 at 12:48 PM, noclue_ <> wrote:
>
> I have a one-variable data set in R.
>
> The plot of histogram of my numerical variable suggests an inverse
> gaussian distrib
On Dec 6, 2009, at 12:48 PM, noclue_ wrote:
I have a one-variable data set in R.
The plot of histogram of my numerical variable suggests an inverse
gaussian distribution.
How can I obtain best estimation for the two parameters of inverse
gaussian based on my data?
http://www.lmgtfy.com/?q=
I have a one-variable data set in R.
The plot of histogram of my numerical variable suggests an inverse
gaussian distribution.
How can I obtain best estimation for the two parameters of inverse
gaussian based on my data?
Thanks.
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