Correlated random numbers

the PD matrix that is "closest" to the target? After a reasonably thorough literature search and perusal of texts on linear algebra and related topics, I've failed to find any literature relevant to this problem. Any suggests on how to proceed, or citations that I

Re: Correlated random numbers

r the adjustment is consistent with the changes I made in the matrix leading up to the ill-conditioning. So if anyone has any further thoughts on this, or if you're interested in the results, please let me know. And thanks again for the help I've gotten so far. Rich Strauss At 12:00 PM

Re: Disadvantage of Non-parametric vs. Parametric Test

as the original sample. The former is bootstrapping in the traditional sense, of course, while the latter is a form of Monte Carlo simulation. Unfortunately, the new terminology seems to be spreading rapidly. Rich Strauss Dr Richard E Strauss Biolog

Re: ANOVA with proportions

all assume that the data really are proportions, not ratios -- that is, that the denominator is fixed among all values, not variable. The problem is that many people use the terms interchangably, talking about proportions or percentages when they're actually dealing with ratios. Rich Strauss

Re: Ocean Waves: Stationary Random Theory

k out the literature on extreme value theory, such as Castillo's book "Extreme value theory in engineering" (1988 I believe, but I don't know the publisher). There's a good but scattered geomorphometry literature on the occurrence of extreme earthquakes, floods, waves,

Re: cluster analysis in one-dimensional "circular" space

dimensions, rather than one) and clustered, and also how distances are measured among observations in Kendall's shape spaces (e.g., Procrustes distances), so there's a well established literature. Rich Strauss At 05:32 PM 4/14/00 +0200, you wrote: >Hi everybody. >I face the probl

Re: differences between groups/treatments ?

n to the mean (147-166) Chesher A. Using regression models for prediction: shrinkage and regression to the mean (167-183) Copas J. Rich Strauss Dr Richard E Strauss Biological Sciences Texas Tech University

Re: Adjusting a Correlation Matrix

ecomes slightly ill-conditioned. The eigen procedure successfully 'corrects' the matrix. Rich Strauss Dr Richard E Strauss Biological Sciences Texas Tech University Lubbock TX 79409-3131 Email: [E

Re: Question

are the variances of the original log-transformed data using Levene's test or equivalent. Rich Strauss At 07:56 AM 10/30/00 -0500, you wrote: >Hi! > >My question is on a test to compare CVs. The CVs are computed using the >same data but two different variance methods and I have to

Problem on the probability of death

n. Can someone point me in the right direction? Thanks in advance. Rich Strauss Dr Richard E Strauss Biological Sciences Texas Tech University Lubbock TX 79409-3131 Email: [EMAIL PROTECTED] (formerly [EMAIL PROTECTED]) Phone:

Nonrandomness of binary matrices

to do this for the entire matrix. I'd really appreciate ideas about this. Thanks in advance. Rich Strauss = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =

Re: Nonrandomness of binary matrices

omething obvious here but I can't quite get a handle on it, and this little problem is holding up the analysis of the results from a much larger study. I've talked to statisticians on campus, with little progress, so basically I'm begging for help. Rich Strauss At 10:47 AM 7/25/01

Re: diff in proportions

c should indeed be calculated about a pooled estimate of the common mean, as Jerry Dallal suggested. I could pass on the details of my simulation if anyone is interested, but mostly I'd appreciate it if someone could repeat this simulation indep

Fwd: Re: diff in proportions

iginal-recipient: rfc822;[EMAIL PROTECTED] > >Hi > >On 16 Nov 2001, Rich Strauss wrote: >> I've just done some quick simulations in Matlab, constructing randomized >> null distributions of the t-statistic under both scenarious: (1) sample >> variances based on

Re: N.Y. Times: Statistics, a Tool for Life, Is Getting Short Shrift

>If the trend continues nationwide, this newspaper could someday report >that an apparently alarming cluster of cancer cases has arisen in an >innocuous normal distribution, and students will be able to explain to >their parents what that means. The reporting of cancer clusters already happens on

Re: N.Y. Times: Statistics, a Tool for Life, Is Getting Short Shrift

This has nothing to do with normal distributions, as Robert Dawson noted yesterday. The article I cited makes no mention of normal distributions, and I didn't mean to imply that it did. Rich Strauss At 04:29 AM 11/29/01 +, Jerry Dallal wrote: >Rich Strauss <[EMAIL PROTECTED]>