Displaying 5 results from an estimated 5 matches for "gevfit".
2011 Jun 30
2
Saving fExtremes estimates and k-block return level with confidence intervals.
...1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3,3)
y <- c(2,3,2,3,4,5,6,1,0,0,0,6, 2, 1, 0, 0,9,3)
z <- as.data.frame(cbind(n,y))
colnames(z) <- c("n","y")
library(fExtremes)
z <- split(z, z$n)
res2 <-lapply(z, function(x){
?????????????? m <- as.numeric(x$y)
?????????????? gevFit(m, block = 1, type = c("pwm"))
??????????????? })
> res2
$`1`
Title:
?GEV Parameter Estimation
Call:
?gevFit(x = m, block = 1, type = c("pwm"))
Estimation Type:
? gev pwm
Estimated Parameters:
?????? xi??????? mu????? beta
0.1033614 2.5389580 0.9092611
Description
? Wed J...
2013 Jun 08
1
help needed! RMSE
i need HELPPP!! how do i calculate the RMSE value for two GEV models?first GEV is where the three parameters are constant.2nd GEV model a 4 parameter model with the location parameter is allowed to vary linearly with respect to time while holding the other parameters at constant.
is there any programming code for this?
i really really need help. please reply to me as soon as possible. thanks in
2010 Jan 07
1
Return values in fExtremes package
...00, seed = NULL)
> para <- gumbelFit(ss)
> print(para)
Title:
Gumbel Parameter Estimation
Call:
gumbelFit(x = ss)
Estimation Type:
gum mle
Estimated Parameters:
mu beta
0.005449572 1.010874131
Description
Thu Jan 07 13:14:28 2010
> class(para)
[1] "fGEVFIT"
attr(,"package")
[1] "fExtremes"
>
-----------------------------------
thanks!
[[alternative HTML version deleted]]
2005 Jul 27
3
fitting extreme value distribution
hi,
rgev function gives me random deviates and I have a data
set which I am fitting to an EVD,IS there a way I can plot
both observed and ideal evd on the same plot
thankyou
Rangesh
2011 Jun 30
0
help with interpreting what nnet() output gives:
...1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3,3)
y <- c(2,3,2,3,4,5,6,1,0,0,0,6, 2, 1, 0, 0,9,3)
z <- as.data.frame(cbind(n,y))
colnames(z) <- c("n","y")
library(fExtremes)
z <- split(z, z$n)
res2 <-lapply(z, function(x){
?????????????? m <- as.numeric(x$y)
?????????????? gevFit(m, block = 1, type = c("pwm"))
??????????????? })
> res2
$`1`
Title:
?GEV Parameter Estimation
Call:
?gevFit(x = m, block = 1, type = c("pwm"))
Estimation Type:
? gev pwm
Estimated Parameters:
?????? xi??????? mu????? beta
0.1033614 2.5389580 0.9092611
Description
? Wed J...