search for: gumbel

...#39; authors who are claiming that KS-Tests are okay for binned data. I searched for sources and can't find examples which approve that it is okay to use KS-Tests for binned data - do you have any links to articles or tutorials? Anyway, I look for a test which backens me up that my data is gumbel-distributed. I estimated the gumbel-parameters mue and beta and after having a look on resulting plots, in my opinion: that looks quite good! You can the plot, related data, and the rscript here: www.jochen-bauer.net/downloads/kstest/Rplots-1000.pdf http://www.jochen-bauer.net/downloads/kstest/r...

Hello, I would like to sample from a Gumbell (minimum) distribution. I have installed package {evd} but the Gumbell functions there appear to refer to the maximum case. Unfortunately, setting the scale parameter negative does not appear to work. Is there a separate package for the Gumbell minimum? -- _____________________________ Ri...

Dera R Helpers, I am re-posting my query. Please guide me. Maithili --- On Fri, 3/13/09, Maithili Shiva <maithili_shiva at yahoo.com> wrote: I am trying to fit the Gumbel distribution to a data. I am using lmom package. I am getting problem in Cumulative Distribution Function of Gumbel distribution as I am getting it as a series of 0's and 1's thereby affecting the P P Plot. My R code is as follows. library(quantreg) library(RODBC) library(MASS...

Hello, I am a new user of R (2.13.1), my operational system is Windows Vista. I have a problem with the attached file SFEVaRHAC.r, calculating the VAR of a Gumbel copula, based on the attached GumHAC_VaR_PL_w250_n1000_s2500.txt 1. I had a Error in file(file, "rt") : cannot open the connection message. I solved it by reading a post in nabble to use setwd(choose.dir()) and read.table(file.choose()) and point the location of each file directly. 2....

Dear R helpers I am trying to fit the Gumbel distribution to a data. I am using lmom package. I am getting problem in Cumulative Distribution Function of Gumbel distribution as I am getting it as a series of 0's and 1's thereby affecting the P P Plot. My R code is as follows. library(quantreg) library(RODBC) library(MASS) librar...

Hi, I was usuing the fExtemes package, and wanted to obtain some of the values returned from the function gumbelFit(). For example, in the following code, I would like to access 'mu' and 'beta' from the object 'para'. How should I go about doing this? Is there any generic method to access the object? ----------------------------------- >library("fExtremes") >ss <-...

Hi, I found this document, but it concerns S+. If it could interest you'll see: http://faculty.washington.edu/ezivot/book/QuanCopula.pdf Cordially Vito You wrote: Dear R: Is there a function or a reference to simulate Gumbel copulas, please? Thanks in advance! Sincerely, Erin Hodgess mailto: hodgess at gator.uhd.edu R version 2.0.1 windows ===== Diventare costruttori di soluzioni Became solutions' constructors "The business of the statistician is to catalyze the scientific learning process." George...

Hi all! I'm sure this is a stupid question but I can't find an answer. How can I fit the Gumbel distribution to my data using The Method of Moments in R? Thank you for helping me, Tonja

Dear all, I have been trying to fit my data (only right censored) with gumbel distribution using fitdistrplus. I am getting very high standard error. I have been wondering why. The followings are the outputs: fit1=fitdistcens(dr0, "gumbel", start=list(a=99, b=0.6), optim.method= "L-BFGS-B", lower = 0.0, upper = Inf) > summary(fit1) FITTING OF THE DIST...

I got some R code that I don't understand. Question as comment in code //where is t comming from, what is phi inverse rAC <- function(name, n, d, theta){ #generic function for Archimedean copula simulation illegalpar <- switch(name, clayton = (theta < 0), gumbel = (theta < 1), frank = (theta < 0), BB9 = ((theta[1] < 1) | (theta[2] < 0)), GIG = ((theta[2] < 0) | (theta[3] < 0) | ((theta[1]>0) & (theta[3]==0)) | ((theta[1]<0) & (theta[2]==0)))) if(illegalpar) stop("Illegal parameter value") independence <- switch(...

Dear R: Is there a function or a reference to simulate Gumbel copulas, please? Thanks in advance! Sincerely, Erin Hodgess mailto: hodgess at gator.uhd.edu R version 2.0.1 windows

...heta[1] theta2<-theta[2] n<-length(reqdIRR) constant<- n*(theta1+theta2) sum1<-lapply(reqdIRR*exp(theta1),FUN = sum) sum2<-lapply(exp(theta2 - reqdIRR*exp(theta1)),FUN = sum) sum = sum1 + sum2 log.fcn = constant - as.numeric(sum) result = - log.fcn return(result) } *error : neg.log.gumbel(1,reqdIRR) Error in sum1 + sum2 : non-numeric argument to binary operator > how can i rectify the error?Its really urgent... * [[alternative HTML version deleted]]

Hi R lovers! Are there any means to define and plot a function given the equation that specifies the function? For example I'd like to plot and work with the Gumbel Distribution density defined by Lambda(x)=exp(-exp(-x)) My question may appear very simple but I haven't got an idea yet about how to do that. I could plot something with x a vector/set of value but I don't know how to proceed with x belonging to a continuous interval Thanks for any help....

...ted this on the S list last week since i'm using some of the FinMetrics functions on copula. Knowing there is a copula package in R, I figure this would be an appropriate forum to ask this question. I want to model inverse relationship between two (non-normal, non-symmetric) marginals with the gumbel copula, or with any copula. Say, x is lognormal and y is norm. Since gumbel's delta must be greater than one, how do I specify the equivalence of a negative correlation? If both are symmetric, I think I could get away by using a positive delta, simulate the bivariate realizations and then fli...

...cdf()-data-points for nls() as data-parameter. nls() expects 'list' or 'environment' as a data-type, knots(ecdf(mydata)) gives me 'numeric'. What should I do now? Thanks in advance - Jochen Here is the code: ################################################# # --- Fit --- # Gumbel-Dist-Function, cumulative, http://en.wikipedia.org/wiki/Gumbel_distribution # ( - ( x - mue ) / beta ) # ( -e )^ # F(x) = e^ # formula for fitting-function # formula: y ~ I( exp(1) ^ ( - exp(1) ) ^ ( - ( x - mue ) / beta ) ) # data: ecdf( hgd$V1 ) # start: list( mue=0.1, beta...

Hi, I got two data point vectors. Now I want to make a ks.test(). I you print both vectors you will see, that they fit pretty fine. Here is a picture: http://www.jochen-bauer.net/downloads/kstest-r-help-list-plot.png As you can see there is one histogram and moreover there is the gumbel density function plotted. Now I took to bin-mids and the bin-height for vector1 and computed the distribution-values to all bin-mids as vector2. I pass these two vectors to ks.test(). Are those the right vectors, if I want to decide afterwards, if my experiment-data is gumbel-distributed? Sur...

...: My problem in a few words is as folow: I used the fCopulae packages because i have 2 series which are already transformed in the uniform domain (the space of the copulas functions) and i estimated with type archmList() from 1 to 22, but i don't know their names:for exemple the type=4 is the Gumbel Copula...and for the others i can't have any idea about how can i find teir names explicitly? Please can you help me in this point? Thank you. Very Best Regards, Adnen CHOCKRI [[alternative HTML version deleted]]

Hi, Is anybody using Copula package for fitting copulas to own data? I have two marginals Log Normal with (parameters 1.17 and 0.76) and Gamma ( 2.7 and 1.05) Which package I should use to fit Gumbel and Clayton Copulas? Thanks, fayyad [[alternative HTML version deleted]]

...: [1] "probdistr-chi" "probdistr-contextra" "probdistr-discrete" [4] "probdistr-discrextra" "probdistr-exp" "probdistr- finitesupp" [7] "probdistr-gaussian" "probdistr-general" "probdistr-gumbel" [10] "probdistr-intro" "probdistr-logis" "probdistr-math" [13] "probdistr-misc" "probdistr-mult" "probdistr-pareto" [16] "probdistr-student" See the information on INDEX files and package subdirectorie...

...s cao Fitting Constrained Additive Ordination (CAO) cauchy1 Cauchy Distribution Family Function cdf.lmscreg Cumulative Distribution Function for LMS Quantile Regression cexpon Censored Exponential Distribution cgumbel Censored Gumbel Distribution chisq Chi-squared Distribution cnormal1 Censored Normal Distribution cqo Fitting Constrained Quadratic Ordination (CQO) cratio Ordinal Regression with Continuation Ratios cumulative...