similar to: accuracy of chi-square distribution approximations

I''m sure this is the billionth newbie help request on here, but I sure am hitting my head against the wall on this. I''ve tried numberous of Ezra''s examples that I was able to find online. The best I''m able to get is nothing happens and development log says: NoMethodError (undefined method `progress'' for #<PingWorker:0x3a786c0>):

Hi, everyone I am trying to estimate 3 parameters for my survival function. It's very complicated. The negative loglikelihood function is: l<- function(m1,m2,b) -sum( d*( log(m1) + log(m2) + log(1- exp(-(b + m2)*t)) ) + (m1/b - d)*log(m2 + b*exp(-(b + m2)*t) ) + m1*t - m1/b*log(b+m2) ) here d and t are given, "sum" means sum over these two vairables. the parameters

Rsync is efficient at transferring diffs across the wire, but how efficient is it at updating the remote file itself (in terms of disk operations)? If, for example, you have a 500MB file (say an ISO) whose modification consists solely of a few bytes added on to the beginning of the file. Will it create an entirely new 500MB file? Or will it somehow know how to insert the bytes at the beginning

Super software, swell prices, splendid service. http://oemmo.117opy6rpi6r111e6jjwo1jj.zippyii.com/?ilze People only see what they are prepared to see. The only reward for love is the experience of loving. Men have become the tools of their tools Nature and Books belong to the eyes that see them. We don't know a millionth of one percent about anything. Nothing great was

Hey guys This is probably for Armin, but I thought maybe someone else might have something I could try. I'm having a problem with one of my Eicon Diva V-4BRI cards and I'm trying to work out if its a driver configuration error, card failure or telco problem: I have an Asterisk box running -- the Eicon drivers see all four ports on my card, capi.conf is configured with all four ports

Hi, I think I have identified a inaccuracy in dchisq when the non-centrality parameter is non-zero and large. Here's a little test: sys.dchisq.test <- function(N = 100000,mean = 0) { z <- rnorm(N,mean = mean, sd = 1) x <- z^2 xmin <- min(x) xmax <- max(x) br <- seq(xmin,xmax,length = 101) dbr <- br[2]-br[1] hist(x,br) p <- dchisq(br,df = 1,ncp =

I was using the hist() function to create a frequency table of some network traffic data. The range in values is rather large, from 0 till just under 10e12. Calling hist(x, breaks=c(0,1000,1e6,1e9,1e12),plot=F,freq=T) causes hist() to return : $breaks [1] -1.0000e+05 1.0100e+05 1.1000e+06 1.0001e+09 1.0000e+12 Is this recalculation of the breaks by hist() intended? Maarten van Gelder.

Hi all: I've been working on porting Swfdec to Mac OS X on my own time. So far I'm making some progress; stuff is displaying and events are working. I still have a bit of work to do, but in the meantime, I have some questions: 1. How does one get the ability to commit things to the repository? I don't expect this right away; I'll probably just distribute the Mac OS X

Dear Sirs What is the best aproximation to the standardized normal distribution: necessidade = c("sem necessidade","com necessidade") tipo =c("CE-1", "CE-2", "CE-3") dados=c(20,34,44,69,9,3) Tabela =cbind(expand.grid(list(Necessidade=necessidade, Tipo=tipo)), count=dados) Tabela.array=tapply(Tabela$count, Tabela[,1:2], sum) ni =

Hi, What I'm trying to achieve is very fast algorithm for fitting logistic regression model. I have to estimate regression coeficients using about 10k observations. Once I have coefficients estimated, new 100 rows of data becomes available.... Now I need to reestimate coeficients using 100 newly arrived observations and removing 100 oldest observations. So, my question is would it be

Pete Batard <pete at akeo.ie> wrote: > On 2013.08.09 16:24, Bernd Blaauw wrote: > >> Sorry. If you are substituting any files you should substitute them all. > > > From where I stand, the idea that someone using an ISO will only ever > use it in optical media mode (either real or emulated) is a thing of > the past. > > These days, you can be almost certain

BUG/SYMPTOMS: 1.Under certain circumstances, octoBRI (and most likely quadBRI) ISDN cards (Junghanns/CologneChip) severely distort certain ISDN payload. 2.Although these claims relate to the bristuff patch, the problem might not be limited to bristuff and in fact be rather asterisk/zaptel/libpri related. 3.Signal distortion is limited to the use of the CVS version of the Bristuff patch for

OK I know whats happening. Your while loop completes and calls kill on the worker before your task_progress controller method ever gets called> So the worker is deleted and when you try to access it from rails you get an error because there is no longer a worker at that job key. The kill method is meant to be used within a worker that you fire and forget. If you want to get the

I''ve been running some multithreaded tests on Ferret. Using a single Ferret::Index::Index inside a DRb server, it definitely behaves for me as if all readers are locked out of the index when writing is going on in that index, not just optimization -- at least when segment merging happens, which is when the writes take the longest and you can therefore least afford to lock out all reads.

> The advantage of storing this in the granulepos field itself, like > theora and CMML do, is that the seek code may already understand how > to handle the back pointer. Right now everything assumes the mapping > is from 'initialized decoder' + 'granulepos from page header' => > timestamp, or in the case of theora and CMML => 'timestamp' + 'last

> No particular answers, but I can at least point out that the way > things were designed for CMML was to work with the existing Ogg > seeking algorithm. The idea is that a generic seeking routine can work > on any Ogg file, as long as it knows the granulepos->time mapping for > the logical bitstreams in the file. That's why all the > timestamp-related info is crammed into

Hello ALL! Can anyone tell me how to specify qqmath() function with distribution qgamma? In help it is bit vague how to pass shape and scale parameters for gamma. Thank you in advance. Best, PM

Doese anyone know a R function to find the median of a gamma distribution? [[alternative HTML version deleted]]

Hi all, I'm trying to run a native windows app with wine 0.9.33 (in ubuntu edgy) but I some of the fonts in the app's window are not correct. Text phrases are represented as a set of overlaped characters in a single position, or it seems to me like that (another aproximation is that the phrases are represented like a Japanesse Kanji character). The extrange thing is that other text in

Dear R users, I have looked in the reference Schnabel, R. B., Koontz, J. E. and Weiss, B. E. (1985) A modular system of algorithms for unconstrained minimization. _ACM Trans. Math. Software_, *11*, 419-440. cited in the nlm help. This article says that the algorithm permits the use of step selection (line search, dogleg and optimal step), analytic or finite diference gradient