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2010 Oct 29
1
You do not appear to have the sources for the 2.6.18-128.1.1.el5.028stab062.3PAE kernel installed.
...ab062.3PAE*
[root at vz016 dahdi-linux-complete-2.4.0+2.4.0]# ll ../kernels/
total 4
*drwxr-xr-x 19 root root 4096 Oct 28 17:47 2.6.18-194.17.4.el5-PAE-i686
lrwxrwxrwx 1 root root 28 Oct 28 17:47 2.6.18-194.17.4.el5PAE-i686 ->
2.6.18-194.17.4.el5-PAE-i686*
Thanks in advacnce.
KInd Regards,
Thuo Wilson.
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2020 Oct 21
1
Fitting Mixed Distributions in the fitdistrplus package
Dear Sirs,
The below listed code fits a gamma and a pareto distribution to a data set
danishuni. However the distributions are not appropriate to fit both tails
of the data set hence a mixed distribution is required which has ben
defined as "mixgampar"
as shown below.
library(fitdistrplus)
x<- danishuni$Loss
fgam<- fitdist(x,"gamma",lower=0)
fpar<-
2020 Oct 24
1
Packages Not Available for R version 4.0.3
I have attempted to install the packages Rtools and rgrs but the
install.packages command yields a message that the same are not available
for R version 4.0.
How do i get around this as i need the said packages to implement some
credit scoring GLMs using the " rgrs" package.
With Regards,
Charles
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2020 Oct 24
0
Fitting Mixed Distributions in the fitdistrplus package
...r=0)
fmixgam<- fitdist(x,"mixgam",start =
list(prob=1/2,shape1=1,scale1=1,shape2=1,scale2=1),lower=0)
cdfcomp(list(fgam, fpar, fmixgam), xlogscale = TRUE)
gofstat(list(fgam, fpar, fmixgam))
>
> ---------- Forwarded message ---------
> From: Charles Thuo <tcmuigai at gmail.com>
> Date: Wed, Oct 21, 2020 at 12:03 AM
> Subject: [R] Fitting Mixed Distributions in the fitdistrplus package
> To: <r-help at r-project.org>
>
>
> Dear Sirs,
>
> The below listed code fits a gamma and a pareto distribution to a data set...
2013 Jun 28
0
"actuar" package query
I run the following:
library(actuar)
x <- seq(0, 22, 0.5)
fl <- discretize(plnorm(x, 2.1), from = 0, to = 22, step = 0.5, method
="lower")
Fs <- aggregateDist("recursive", model.freq = "poisson",model.sev = fl,
lambda = 10, x.scale = 0.5)
Warning message:
In panjer(fx = model.sev, dist = dist, p0 = p0, x.scale = x.scale, :
maximum number of recursions
2013 Oct 05
0
How to establish the order of a time series so as to fit ARIMA
I have sales data for years 2011, 2012 and upto september 2013. I have
applied the decompose function to filter the trend , seasonal and random
component. however i would like to apply the predict function to forecast
the sales for the rest of year and into 2014. How can i establish the order
of the time series so as to fit ARIMA.
Charles.
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