search for: distrbut

...ootonce Lable1 /boot/flagfileLable1 bootonce Lable2 /boot/flagFileLable2 bootonce Lable2 /boot/flagFileLable2 skip the default option if the flag file is 0 size. Write something to the flag file. In my case I have no control over the remote box at boot time. I have had stock linux distrbution kernals fail to boot on my hardware, ie change NIC init order. syslinux has been better at booting my systems than Gr.. or Li.. I'm just looking to solve the failed test boot problem. I understand Bloat is bad, and that ttyUSB is much to big for the small group of usrs with serial...

Hello, I would like to calculate the 95% confidence intervals for the estimates of a linear model and I just wanted to check that I am doing it correct. Is it just: Estimate + 1.95996*Std.Error to Estimate - 1.95996*Std.Error or is there another approach that doesn't assume a normal distrbution? Thanks. Apologies for my naiivity Dan -- ************************************************************** Daniel Brewer, Ph.D. Institute of Cancer Research Molecular Carcinogenesis Email: daniel.brewer at icr.ac.uk ************************************************************** The Institut...

hi there! how u doin?...hope fine. look, i've a difficulty in simulation especially for the bayesian analysis using R. Using the famous Markov Chain Monte Carlo (MCMC) method, Methropolis hasting algorithm i want to simuate different distrbution like: 1/ Weibull-exponential 2/Gamma-Gamma 3/Poisson-Gamma 4/Normal-Normal 5/Normal-Gamma 6/ Negative binomial - Jeffrey's prior Especially, i need the Gamma-Gamma case. with all due respect, can u please help and send me them b/c i don't have enough reference material to refer and u...

The background: I'm trying to fit a Poisson-lognormal distrbutuion to some data. This is a way of modelling species abundances: N ~ Pois(lam) log(lam) ~ N(mu, sigma2) The number of individuals are Poisson distributed with an abundance drawn from a log-normal distrbution. To fit this to data, I need to integrate out lam. In principle, I can do it this way...

...= c(h(x) for all x They clearly explain the steps as follows : 1) generate Z from h(x). 2) generate u from a Uniform(0,1) 3) if u is less than or equal to f(Z)/c(h(Z) then return Z as the generated RV; otherwise reject it and try again. I think that, since f(Z)/c(h(z) is U(0,1), then u has the distrbution as f(Z)/c(h(Z). But, I don't understand why the generated and accepted Z's have the same density as f(x) ? Does someone know where there is a proof of this or if it's reasonably to explain, please feel free to explain it. They authors definitely believe it's too trivial becau...

...for the lognormal on its own, but the additional logistic factor has taken it beyond my immediate analytical capabilities. This has an obvious practical illustration: X may be a predictor for an event which, given X, has the logistic probability of occurring. The question relates therefore to the distrbution of X in cases where the event occurred, and in cases where the event did not occur. As such, I would expect that it has often turned up in the epidemiological world, and the resulting distribution may well have a name and well-known analytical properties. It just happens that I'm not acquain...

Hi, I was looking for a package that would help with outlier detection for bimodal distributions. I have tried 'outliers' and 'extremevalues' packages, but am not sure if they are ok for bimodal distribution. Any help would be highly appreciated! thanks, [[alternative HTML version deleted]]

I am in the process of trying to update a bootable Linux CD that I initally built some time ago using RedHat 7.3 and syslinux 1.x (I believe that x = 52, but this doesn't seem to be relevant). In order to do this, I first built a floppy disk image and made it bootable by running "syslinux -s" on the image; then I incorporated this image into a CD using "mkisofs -b boot.img -c

Hi, I'm currently doing some analyses on time of failure of a product. I found on the internet some article about the Arrhenius equation, and I can calculate the results with R. Equation: k=A*exp(-Ea/R*T) I can fit a model with lm for this purpose, so far no problem. But for the confidence interval, how can I use the Weibull distribution? Or should I use the weibull distribution at all? Or

Hi all, Please help me in installing Asterisk. I am getting the following error when trying to install Libpri [treepr at CDC5S3FB-174202 Asterisk]$ cd libpri-1.4.2 [treepr at CDC5S3FB-174202 libpri-1.4.2]$ make clean rm -f *.o *.so *.lo *.so.1 *.so.1.0 rm -f testprilib libpri.a libpri.so.1.0 rm -f pritest pridump rm -f .depend [treepr at CDC5S3FB-174202 libpri-1.4.2]$ make install gcc -Wall

Dear Lister, I am facing a strange problem fitting a GLM of the negative binomial family. Actually, I tried to estimate theta (the scale parameter) through glm.nb from MASS and could get convergence only relaxing the convergence tolerance to 1e-3. With warning messages: glm1<-glm.nb(nbcas~.,data=zonesdb4,control=glm.control(epsilon = 1e-3)) There were 25 warnings (use warnings() to see

I am building xen-unstable (23860:a422e2a4451e) on Ubuntu 11.10. I noticed that the "make install" does not create lib entries in /usr/lib/. I see them only in /usr/lib64/. This is causing program like xenpaging to not find the xenctrl library (error while loading shared libraries: libxenctrl.so.4.2: cannot open shared object file: No such file or directory) Is this expected behavior or