search for: bytheway

Han-Lin I don't think I have seen a reply so I will suggest that maybe you could try a different approach than what you are thinking about doing. I believe the current best practice is to use the weights as a covariate in a regression model - and bytheway - the weights are the inverse of the probabilities of selection - not the probabilities. Fundamentally, there is a difficulty in making sense out of 'random effects' in a finite population setting. (plagiarized from some unknown source) See: < 9. Pfeffermann, D. , Skinner, C. J. , Holm...

"help" We want to estimate the number of caribou in Jasper. We recently conducted an aerial survey and saw 70 uncollared caribou and 8 of 11 collared caribou. We want to estimate the number of caribou in this population with 95% confidence limits. Gary White uses the hypergeometric distribution and determines the population estimates using maximum likelihood and 95%CL as

Hello List, i have a spelling and reading software i would like to get running for a primary school because they should not be using windows and the teachers really want that software. I have already tried to get it running with a few people in #winehq, but it seems that its more a guessing game than a streight debugging and solving way. What steps do i need to do to get it running? First of

Hi all, I hope this isn't a naive newbie question again. Here you can see column 264 of a data frame containing data of the same interview in May and September. Column 264 contains the answers of 49 persons to a question in May. > fbhint.spss1[,264] [1] teils/teils sehr wichtig <NA> <NA> sehr wichtig [6] sehr wichtig sehr wichtig sehr wichtig <NA>

Please, I would like to know how to generate a truncated multivariate normal distribution k - dimensional, X ~ NT(mu, Sigma), where the elements of X to be non-negative (except the first), and the first dimension is strictly larger than zero. Example: X ~ NT_2(mu, Sigma), where mu=c(0.5, 0.5) and Sigma=c([120, 191], [191,154]), with X_1>0 and X_2>=0 Could anybody help

...gt;>Han-Lin >> >>I don't think I have seen a reply so I will suggest that maybe you could try >>a different approach than what you are thinking about doing. I believe the >>current best practice is to use the weights as a covariate in a regression >>model - and bytheway - the weights are the inverse of the probabilities of >>selection - not the probabilities. >> >>Fundamentally, there is a difficulty in making sense out of 'random effects' >>in a finite population setting. >> >> > >I would have thought that it...

Anyone got any tips for running Rails (w/ either webrick or lighttpd/fcgi) on a VPS with a pretty small amount of memory (like 64MB memory and 64MB swap). Thanks, Joe

On Mon, Jul 15, 2013 at 3:12 PM, John McCall <rjmccall at apple.com> wrote: > On Jul 11, 2013, at 6:13 PM, Nick Lewycky <nlewycky at google.com> wrote: > > On 11 July 2013 18:02, John McCall <rjmccall at apple.com> wrote: > >> On Jul 11, 2013, at 5:45 PM, Nick Lewycky <nlewycky at google.com> wrote: >> > Hi! A few of us over at Google think a

I have been following the discussions on 'Reasons not to answer very basic questions in a straightforward way' with interest as someone who is also new to R and has had similar experiences. As such it with sadness that I note that most seem to agree with the present approach to the responses to basic questions. I must thank those respondants to my own questions who have been helpful, but