hello list,
I have this array of distribution of frequencies:
freq<-c(45,18,10,8,13,5,9,3,4,1,2,2,2,3,4,4,1,1,2,1,2,1,1,1,1,1,2,3,1,1,1,1,1,1,1,1,2,1,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
for this array of values:
values<-c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18,19,20,21,
Actually, after thinking about this, what I want to do is to fit a
curve (Weibull and LogLogistic) to the first 9 data points in the
series. The numbers represent percent of development, and I don't
"trust" the 1.000 point, so I want to fit these curves to get 2
estimates of the tail, both a thick
Fitting curves to an ECDF will result in a fit that has the same precision as
the ECDF if variances are calculated correctly. So why not stop with the
ECDF as your estimator?
Frank
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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I have a growth curve, which is essentially an ECDF: Statistically,
it's F(x)...
> GrowthCurve
[1] 0.06919932 0.24154761 0.42206402 0.61412408 0.72228295 0.79727292
0.86605315 0.91271120 0.98258397 1.
I'd like to fit a Weibull Curve (then a LogLogistic) to this ECDF, and
have no clue ho
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