[R] estimate inverse gaussian in R
David Scott
d.scott at auckland.ac.nz
Sun Dec 6 22:32:22 CET 2009
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 Gaussian distribution. Its support is the real line and it has 4
parameters. The inverse Gaussian is a special case of the generalized
inverse Gaussian. It has support the positive half line and 2 parameters.
David Scott
> 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 distribution.
>>
>> How can I obtain best estimation for the two parameters of inverse
>> gaussian based on my data?
>>
>> Thanks.
>> --
>> View this message in context:
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>> Sent from the R help mailing list archive at Nabble.com.
>>
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>
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>
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--
_________________________________________________________________
David Scott Department of Statistics
The University of Auckland, PB 92019
Auckland 1142, NEW ZEALAND
Phone: +64 9 923 5055, or +64 9 373 7599 ext 85055
Email: d.scott at auckland.ac.nz, Fax: +64 9 373 7018
Director of Consulting, Department of Statistics
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