I'm considering reporting Pearson's correlation coefficient with a
confidence interval for several bivariate associations. As bivariate
normality is assumed under the computation of the confidence interval,
I have two questions.
1. What is a good way to examine the assumption of bivariate
An interesting reflection -- a form of metamorphosis?
On Mon, 10 Jul 2000, Znarf Akfak wrote:
I'm considering reporting
To whom, for what purpose(s) ? The "several bivariate associations"
part rather suggests that you'll want to be making comparisons,
implicitly if not explicitly; and
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See
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for an (incomplete) teaching handout on this.
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Gosh, I'm trying to solve the problems to get their certification in
statistics... It's tough, to say at least. Does anyone know how to
approximate the distribution of the n-th power of a stochastic matrix M,
assuming Dirichlet distributions for the vectors of M? Maybe I can use
simulations, but
