search for: biometrika

Full_Name: Peter Solymos Version: 2.8.1 OS: Windows Submission from: (NULL) (129.128.141.92) The help page of the Box.test function (stats) states that the Ljung-Box test was published in: Ljung, G. M. and Box, G. E. P. (1978), On a measure of lack of fit in time series models. Biometrika 65, 553--564. The page numbers are incorrect. The correct citation should be as follows: Ljung, G. M. and Box, G. E. P. (1978), On a measure of lack of fit in time series models. Biometrika 65, 297--303. Yours, Peter

http://biomet.oxfordjournals.org/cgi/reprint/86/3/677 biometrika1999 http://biomet.oxfordjournals.org/cgi/reprint/94/4/1006 biometrika2000 Hi All: I just want to try some luck. I am currenly working on my project,one part of my project is to reanalysis the kenward cattle data by using the method in Mohsen's paper,but I found I really can get the same...

.... [mailto:chrysopa at insecta.ufv.br] Sent: Wednesday, August 27, 2003 10:04 AM To: R-Help Subject: Re: [R] how to calculate Rsquare Can anybody send these articles for me? > NagelKerke, N. J. D. (1991) "A note on a general definition of the > coefficient of determination", Biometrika 78: 691-2. > > Cox, D. R. and Wermuth, N. (1992) "A comment on the coefficient of > determination for binary responses", The American Statistician 46: > 1-4. > Thanks Ronaldo -- Of ______course it's the murder weapon. Who would frame someone with a fake? -- |&...

Hallo everyone, excuse me if this is not a genuine R question but I do not know where to ask else. Referring to e.g. https://stat.ethz.ch/pipermail/r-help/2004-December/062114.html I wonder if these measurements of 3000 criminals (raw data) are available anywhere. At least I didn't find them in the R datasets package or by means of Google. What I did find was a table of frequencies of

To enhance my understanding, and that of my students, I have a question about cox.zph in the survival package. If I have correctly gleaned the high-level point from the 1994 Biometrika paper of Grambsch and Therneau, it looks to me like cox.zph provides a mechanism to test for a simple trend in plots of a function of time, g(t) versus the scaled schoenfeld residuals and it also provides some built-in ones and the capability to provide your own. It also appears to me that differe...

...illustrate the benefits of using it for sparse data. I am happy to give more details if needed. David Fletcher Department of Mathematics and Statistics University of Otago Dunedin New Zealand D.J. Fletcher (2012) Estimating overdispersion when fitting a generalized linear model to sparse data. Biometrika 99:230?237 (http://biomet.oxfordjournals.org/content/99/1/230.abstract?etoc)

Hi R-users, I am using lme to fit a linear mixed model with the nlme package, does anyone know if it is possible to obtain standard error estimates of the variance components estimators and an adequate method to test the significance of the variance component? Thanks, Berta. [[alternative HTML version deleted]]

...s the best way to estimate the treatment effect? I know that if the treatment is binary,I can use propensity score matching using MatchIt package.But what about multinomial? Maybe one way is the method proposed by Imbens,2000,The role of the propensity score in estimating dose-response functions,Biometrika,87:706-710.But I can't find any R function to do the task.So I hope the lister can give me some suggestions. Thank you in advance! -- ?????? Department of Sociology Fudan University

...iling list. My apologies if I'm sending the question to the wrong mailing list. (The r-packages list moderator suggested using the R-help list.) My question is about the "chickwts" data in the datasets package. According to help(chickwts), the source of the data is ?Anonymous (1948) Biometrika, 35, 214. But this reference seems irrelevant. (See http://www.jstor.org/stable/i315414.) The help document also gives "McNeil, D. R. (1977) Interactive Data Analysis. New York: Wiley" as a reference, but unfortunately my local library does not keep the book. Could someone please help m...

...s of freedom should be "number-p-q" where p and q are the number of estimated parameters (for instance, in a Box-Jenkins family of models). This, according to the main source in documentation of Box.test: G. M. Ljung and G. E. P. Box, On a measure of Lack of Fit in Time Series Models, Biometrika, Vol. 65, No. 2 (August, 1978), pp. 297-303. One can still compute the correct p-value with >1-pchisq(value,correctdf) Nestor (R 2.2.1 on Linux, Suse 9.3) -- Nestor M. Arguea, Chair Department of Marketing and Economics University of West Florida 11000 University Parkway Pensacola, FL 3251...

Does anyone know if any R package has a function that will conduct Hollander's test of bivariate symmetry? (Hollander, Biometrika, 1971) Either the exact test or an asymptotic version would be sufficient for my purposes. Thanks. Joe Boyer Statistical Sciences Renaissance Bldg 510, 3233-D Mail Stop RN0320 8-275-3661 cell: (610) 209-8531 [[alternative HTML version deleted]]

...ng a new method to `p.adjust` ("Adjust P-values for Multiple Comparisons", https://stat.ethz.ch/R-manual/R-devel/library/stats/html/p.adjust.html). This new method is published in Benjamini, Krieger, Yekutieli 2016 Adaptive linear step-up procedures that control the false discovery rate (Biometrika). https://doi.org/10.1093/biomet/93.3.491 This paper described multiple methods for adjusting p-values, where the "TST" method (Definition 6) performed the best when test statistics are positively correlated, per my interpretation. This method can be labeled as "BKY", for the t...

Hello, can anybody here explain what a Jonckheere-Terpstra test is and whether it is implemented in R? I just know it's a non-parametric test, otherwise I've no clue about it ;-( . Are there alternatives to this test? thanks for help, Arne

Hi all. I'm trying to numerically invert the characteristic function of a quadratic form following Imhof's (1961, Biometrika 48) procedure. The parameters are: lambda=c(.6,.3,.1) h=c(2,2,2) sigma=c(0,0,0) q=3 I've implemented Imhof's procedure two ways that, for me, should give the same answer: #more legible integral1 = function(u) { o=(1/2)*sum(h*atan(lambda*u)+sigma^2*lambda*u/(1+lambda^2*u^2)) - q*u/2...

Dear R experts, I was wondering if there are any R functions that give the tail area of a sum of chisquare distributions of the type: a_1 X_1 + a_2 X_2 where a_1 and a_2 are constants and X_1 and X_2 are independent chi-square variables with different degrees of freedom. Thanks, Klaus -- "Feel free" - 5 GB Mailbox, 50 FreeSMS/Monat ...

...s some functions which appear very promising: http://alpha.luc.ac.be/~lucp0753/rcode.html Thomas Lumley pointed out that instead of NB, one can get a Poisson-Normal mixture out of this by changing the assumption on the error term. He pointed me at some articles that are exactly on point - Zeger (Biometrika 1988, pp621-629) gives an estimation procedure for a time series count model that is based on a Poisson-Normal mixture. - Something more or less similar is discussed by Davis et al (Biometrika 2000, p491-505) And he to consider "sandwich estimators" (or similar) for longitudinal data. H...

...be fitted as a HGLM (Hierarchical Generalized Linear Model)(Lee and Nelder, 1996, 2001) for binomial data (i.e. considered binomial conditional on the random effects). Only the GenStat package is set up to fit HGLMs (as far as I know). (L & N, 1996, J.R.Statist.Soc B 58, 619-678; L & N 2001 Biometrika 88, 987-1006). Hope this helps Steve Candy ___________________________________________________________________________ Australian Antarctic Division - Commonwealth of Australia IMPORTANT: This transmission is intended for the addressee only. If you are not the intended recipient, you...

...mentioned in the documentations of the functions !! cheers, hugo This is not a bug. You have simply rediscovered the finite-sample bias in the sample autocorrelation coefficient, known at least since Kendall, M. G. (1954). Note on bias in the estimation of autocorrelation. Biometrika, 41(3-4), 403-404. The bias is approximately -1/T, with T sample size, which explains why it seems to disappear in the larger sample sizes you consider. Jan

...B., Tukey, J. W., Performance of Some Resistant Rules for Outlier Labeling, Journal of the American Statistical Association, Vol. 81, No. 396 (Dec., 1986), pp. 991-999. The ASTM E 178 reference is: Shapiro, S. S., and Wilk, M. B., An Analysis of Variance Test for Non-Normality (Complete Samples), Biometrika, BIOKA, Vol 52, 1965, pp. 591611. Kenneth Ray Hobson, P.E. Oklahoma DOT - QA & IAS Manager 200 N.E. 21st Street Oklahoma City, OK 73105-3204 (405) 522-4985, (405) 522-0552 fax

Dear list, I am currently working with a rather large data set on body temperature regulation in wintering birds. My original model contains quite a few dependent variables, but I do not (of course) wish to keep them all in my final model. I've fitted the following model to the data: >