similar to: Weibull maximum likelihood estimates for censored data

Program your locked ADSI phone not by unlocking it but by using the feature slot FDN download descriptors of ADSI SEC security code telco provider lock number key from database list. ch33s3 First reset phone. Set clock to Jan 1 12:00AM (options-2?). exit to main screen. press options, (mute/flash/speaker/?) until you see firmware version. press # to reset. google more info, bam ch33s3d ;

Do=F0ru se=E7imi yap=FDn Bazen, bir i=FEe giri=FEmeye ve farkl=FD bir =FEeyler yapmaya karar vermek = =E7ok kolay olmayabilir. Ortalama k=FC=E7=FCk =F6l=E7ekli bir i=FEletme kurma maliyetinin =E7ok paha= l=FD oldu=F0unu ve bu i=FEletmelerin bir=E7o=F0unun ilk y=FDllar=FDnda kapa= nmak zorunda kald=FD=F0=FDn=FD biliyor muydunuz? Herbalite ile kendi i=FEin= izi y=FCr=FCtme zorlu=F0unun =F6n=FCne

Do=F0ru se=E7imi yap=FDn Bazen, bir i=FEe giri=FEmeye ve farkl=FD bir =FEeyler yapmaya karar vermek = =E7ok kolay olmayabilir. Ortalama k=FC=E7=FCk =F6l=E7ekli bir i=FEletme kurma maliyetinin =E7ok paha= l=FD oldu=F0unu ve bu i=FEletmelerin bir=E7o=F0unun ilk y=FDllar=FDnda kapa= nmak zorunda kald=FD=F0=FDn=FD biliyor muydunuz? Herbalite ile kendi i=FEin= izi y=FCr=FCtme zorlu=F0unun =F6n=FCne

I've received my Aastra 390 phone. I got the unlock procedure from the vendor, and the services button now shows all four entrys as "<available>". When I give the phone "ADSIProg()" the phone displays: Asterisk PBX download refused Conflict with: <available> The asterisk.adsi hasn't been changed: DESCRIPTION "Asterisk PBX" VERSION 0x02 SECURITY

Dear all, I have just sent an email with my problem, but I think no one can see the red part, beacuse it is black. So, i am writing again the codes: rm(list=ls()) #remove almost everything in the memory set.seed(180185) nsim <- 10 mresultx <- matrix(-99, nrow=1000, ncol=nsim) mresultb <- matrix(-99, nrow=1000, ncol=nsim) N <- 200 I <- 5 taus <- c(0.480:0.520) h <-

I have ADSI working on my Aastra (Vista/Nortel) 350 phone and everything is working fine. However, I want the asterisk.adsi to load into the 'self-load' slot but can't figure out what the correct FDN for doing this is. Does anyone know the right FDN for the SL slot on these phones? Also, does anyone have any cool/interesting ADSI scripts they wouldn't mind sharing? I'm

I am running 1.3.1 on a Windows (NT 4.0) machine. I've fit a nonlinear model intended to predict crop yield from nutrient information, and want to use the profile function. If I type say, profile(simparj.fm) I get the following error message: "Error in prof$getProfile(): number of iterations exceeded maximum of 5.25515e-308" I used the profiler function to profile simparj,fm step

I?m working on an R-implementation of the simulation-based finite-sample null-distribution of (R)LR-Test in Mixed Models (i.e. testing for Var(RandomEffect)=0) derived by C. M. Crainiceanu and D. Ruppert. I'm in the beginning stages of this project and while comparing quick and dirty grid-search-methods and more exact optim()/optimize()-based methods to find the maximum of a part of the

Dear all, I am trying to run a loop in my codes, but the software returns an error: "subscript out of bounds" I dont understand exactly why this is happenning. My codes are the following: rm(list=ls()) #remove almost everything in the memory set.seed(180185) nsim <- 10 mresultx <- matrix(-99, nrow=1000, ncol=nsim) mresultb <- matrix(-99, nrow=1000, ncol=nsim) N

## Package Needed library(fields) ## Assumptions set.seed(123) nsim<-5 p<-2 ## Generate Random Matrix G G <- matrix(runif(p*nsim),nsim,p) ## Set Empty Matraces dmax and dmin dmax<- matrix(data=NA,nrow=nsim,ncol=p) dmin<- matrix(data=NA,nrow=nsim,ncol=p) ## Loop to Fill dmax and dmin for(i in 1:nsim) { dmax[i]<- max(rdist(G[i,,drop=FALSE],G)) dmin[i]<-

Dear all, Does anyone have any idea on how to speed up the for() loop below. Currently it takes approximately 2 minutes and 30 seconds. Because of the size of Nsim and N, simulating a multivariate normal (instead of simulating Nsim times a vector of N normal distributions) would require too much memory space. Many thanks for your kind help, Simona N=3000 PD=runif(N,0,1) cutoff.=qnorm(PD)

I have been trying to build the latest 4.8 Stable on a 4.8 Stable system mainly go get the latest fixes, but on "make buildworld" I keep getting the same problem for the past few days. I've even completely removed /usr/src and /usr/obj (ok I backed it up) and re-cvsuped the code and started a-new. I attached the complete "make buildworld" from after that. Anyone have

Dear all, I am a new user in r and I am facing some problems with the quantile regression specification. I have two matrix (mresultb and mresultx) with nrow=1000 and ncol=nsim, where I specify (let's say) nsim=10. Hence, the columns in my matrix represents each simulation of a determined variable. I need to regress each column of mresultb on mresultx. My codes are the following:

Craig, Thanks for your follow-up note on using the asypow package. My problem was not only constructing the "constraints" vector but, for my particular situation (Poisson regression, two groups, sample sizes of (1081,3180), I get very different results using asypow package compared to my other (home grown) approaches. library(asypow) pois.mean<-c(0.0065,0.0003) info.pois <-

Dear list, After running for a while, it crashes and gives the following error message: can anybody suggest how to deal with this? Error in if (ratio0[i] < log(runif(1))) { : missing value where TRUE/FALSE needed ################### original program ######## p2 <- function (Nsim=1000){ x<- c(0.301,0,-0.301,-0.602,-0.903,-1.208, -1.309,-1.807,-2.108,-2.71) # logdose

Hi all i have an interesting project that i have been working on. i intended to set this as a first year programming problem but then changed my mind since i thought that it might be too difficult for them to program. the problem is as follows: You have been approached by a local casino in order to investigate the performance of one of their slot machines. The slot machine

I have found the "simulate" method (incorporated in some packages) very handy. As far as I can tell the only class for which simulate is actually implemented in base R is lm ... this is actually a little dangerous for a naive user who might be tempted to try simulate(X) where X is a glm fit instead, because it defaults to simulate.lm (since glm inherits from the lm class), and the

Running the function below, tested using the cardiff dataset from splancs generates the following error. What changes do I need to make to get the function to work? Thanks. --Dale > gen.rpoints(events, poly, 99) > rpoints Error: object "rpoints" not found # test spatial data library(splancs) data(cardiff) attach(cardiff) str(cardiff) events <- as.points(x,y) ###

To new R-Programmers: This long-winded note gives an example of optimizing in R that should only be of interest to newcomers to the language. Others should ignore. My hope is that it might help illuminate some basic notions of code improvement, looping, and vectorization in R. However, I welcome comments from anyone that enlarge, correct, or improve it. I remain a novice R programmer. For the

Hi R-users, I have a problem for updating the estimates of correlation coefficient in simulation loop. I want to get the matrix of correlation coefficients (matrix, name: est) from geese by using loop(500 times) . I used following code to update, nsim<-500 est<-matrix(ncol=2, nrow=nsim) for(i in 1:nsim){ fit <- geese(x ~ trt, id=subject, data=data_gee, family=binomial,