search for: mostel

...report, #886. I noticed my error a couple of days after and put up a comment to that effect on R-bugs, but it seems to have vanished (or alternatively I did that wrong as well). I agree with you on the criterion for the choice of districts as well. There remains a minuscule discrepancy between the Mosteller and Tukey description and the Princeton one, in that M&T say that the 4th variable is the % of the population with education beyond primary school, whereas the Princeton source says it's the percentage of 'draftees' with this level of education; given the date, the differences be...

Full_Name: Kevin McConway Version: 1.2.2 OS: WinNT Submission from: (NULL) (137.108.11.58) Hardly crucial, but I've come upon a potential error in the documentation of the 'swiss' datafram in the R base package. The description accurately matches what is said in the Mosteller and Tukey source quoted, but according to the data archived at Princeton (links from http://opr.princeton.edu/archive/eufert/switz.html), the variable that Mosteller and Tukey report as infant mortality is actually the proportion of 'draftees' with education beyond primary school. Infant...

>From k.j.mcconway@open.ac.uk Wed Mar 28 16:46:49 2001 Hardly crucial, but I've come upon a potential error in the documentation of the 'swiss' datafram in the R base package. The description accurately matches what is said in the Mosteller and Tukey source quoted, but according to the data archived at Princeton (links from http://opr.princeton.edu/archive/eufert/switz.html), the variable that Mosteller and Tukey report as infant mortality is actually the proportion of 'draftees' with education beyond primary school. Infant...

...stics, School of Mathematical & Physical Sciences, University of Newcastle, Australia Room V133 ph +61 2 4921 5548 Robert.King at newcastle.edu.au http://maths.newcastle.edu.au/~rking/ "It's easy to lie with statistics. It's even easier to lie without them." -- Frederick Mosteller

Can anyone comment or point me to a discussion of the pros and cons of robust regressions, vs. a more "manual" approach to trimming outliers and/or "normalizing" data used in regression analysis?

...atistics, School of Mathematical & Physical Sciences, University of Newcastle, Australia Room V133 ph +61 2 4921 5548 Robert.King@newcastle.edu.au http://maths.newcastle.edu.au/~rking/ "It's easy to lie with statistics. It's even easier to lie without them." -- Frederick Mosteller

I'm looking at algorithms for determining coincidences. In educational testing, it is interesting to look at cheating via the birthday problem where I can assess the probability of n students having the same test score in a class of size k. I was writing my own code for the b-day problem until I ran into the qbirthday() function, which has solutions for the overflow problems I kept running

...d Hoaglin, D. C. (1981) _Applications, Basics and Computing of Exploratory Data Analysis_ Duxbury Press. Emerson, J. D. and Hoaglin, D. C. (1983) Resistant Lines for y versus x. Chapter 5 of _Understanding Robust and Exploratory Data Analysis_, eds. David C. Hoaglin, Frederick Mosteller and John W. Tukey. Wiley. Iain M. Johnstone and Paul F. Velleman (1985) The Resistant Line and Related Regression Methods. _Journal of the American Statistical Association_ *80*, 1041-1054. <URL: https://dx.doi.org/10.1080/01621459.1985.10478222> > Bes...

Hi, I tried to calculate the formula for the birthday problem (the probability that at least two people out of a group of n people share the same birthday) But the factorial-function allows me only to calculate factorials up to 170. So is there a way to push that limit? to solve this formula: (factorial(365) / factorial((365-23))) / (365^23) (n=23)

Hi List, Just wondering where the documentation exists for the statistics which makeup the bwplot. I'm guessing that if R is like similar products that the graph is constructed as The median is the filled circle. The box surrounding the filled circle depicts the 25th and 75th quartile. The range of values is given by the dotted lines (?whiskers?) outside of each box, and possible

Hi, trying to do a robudt regression of a two-way linear model, I keep getting the following error: > lqs(obs ~ y + s -1,method="lms", contrasts=list(s=("contr.sum"))) Error: lqs failed: all the samples were singular Robust regression with M-estimators works (also regular least square fits, of course): rlm.formula(formula = obs ~ y + s - 1, method = "M",

Hello, I'm learning about robust M-estimators right now and had settled on the "Huber Proposal 2" as implemented in MASS, but further reading made clear, that at least 2 further weighting functions (Hampel, Tukey bisquare) exist. In a post from B.D. Ripley going back to 1999 I found the following quote: >> 2) Would huber() give me results that are similar (i.e., close

>>>>> Serguei Sokol <sokol at insa-toulouse.fr> >>>>> on Mon, 29 May 2017 15:28:12 +0200 writes: > Sorry, I have seen it too late that we had different tab > width in the original file and my editor. Here is the > patch with all white spaces instead of mixing tabs and > white spaces. thank you - it still gives quite a few

...ki, M. and V. Ram??rez. 1999. Parametric methods of apportionment, rounding and production. \emph{Mathematical Social Sciences} \bold{37}:107--122. Diaconis, P. and D. Freedman. 1979. On rounding percentages. \emph{Journal of the American Statistical Association} \bold{74}:359--364. Mosteller, F., C. Youtz, and D. Zahn. 1967. The distribution of sums of rounded percentages. \emph{Demography} \bold{4}:850--858. \url{http://en.wikipedia.org/wiki/Highest_averages_method} (accessed 10 Feb 2010). } \seealso{ \code{\link{round}} is the standard rounding function in \R. \code{\l...