search for: desity

Hello, We all know linux distros will use most of the free memory available for caching stuff, I/O buffers etc (hence sites like linuxatemyram.com). In many virt scenarios we have some sort of memory deduplication mechanisms, such as KSM on KVM (don't know how it's called in Vmware). My situation is one where I need to cram up as many virtual machines as I can on a single hypervisor

Hello, We all know linux distros will use most of the free memory available for caching stuff, I/O buffers etc (hence sites like linuxatemyram.com). In many virt scenarios we have some sort of memory deduplication mechanisms, such as KSM on KVM (don't know how it's called in Vmware). My situation is one where I need to cram up as many virtual machines as I can on a single hypervisor

...of poison distribution? for example data like this: The numbers of sanils found in each of 100 sampling quadrats in an area were as follows: number of snails, r 0 1 2 3 4 5 8 15 f=frequency of r 69 18 7 2 1 1 1 1 apparently this is not Poison but near to Poison, How to overlap the theoretical desity curve to the histgram of this data? Thanks in advance! Josh

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 =