Hi
I have a data whose histogram has a unique distribution exhibited by it. I
am trying to fit different curves to the data and to see which one has the
best fit. The first one I am trying is gamma, i got my optimum alpha and
beta values. And then simply fed my data (x values) into the gamma
Olivier,
I think you pdf is wrong.
H, the cdf of y (as defined above) should be 1 above L and H=F below L.
Therefore, I think
H(y)=F(y)II(y=L)+(1-F(L))II(yL)
is the right function
Regads
Robert
Let T1,...,Tn iid with p.d.f. f(.;eta) and c.d.f. F(.;eta).
Assume the data are singly
Hi,
I don't know R, but once you know how to compute each effect and its
significance you should be able to make an Excel sheet in less than 1 hour,
plus 1 hour to check if the results of the calculations agree with examples
found in textbooks.
I've done some 2^n factorial design analysis using
http://www.salary.com/
interesting site
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- Original Message -
From: P.G.Hamer [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Sent: Thursday, August 17, 2000 2:40 AM
Subject: Re: likelihood
David A. Heiser wrote:
I am going to reference Fisher as his views later on in life in the 1973
3rd
edition of "Statistical
Methods and
