sci.stat.math Google Group

Re: Meaning of (Pearson ) correlation: what is being measured.?

2010-03-11T21:50:25Z

Those with JSTOR access can get it here:
Stable URL: [link]

Re: Meaning of (Pearson ) correlation: what is being measured.?

2010-03-11T21:31:15Z

See "Thirteen Ways to Look at the Correlation Coefficient",
by Joseph Lee Rodgers and W. Alan Nicewander,
in The American Statistician, Vol 42, No. 1 (Feb 1988), 59-66.
Abstract
In 1885, Sir Francis Galton first defined the term "regression"
and completed the theory of bivariate correlation. A decade later,

Re: Meaning of (Pearson ) correlation: what is being measured.?

2010-03-11T21:29:02Z

Forget randomness for a moment. If I asked you how close a vector Y in
a Euclidean space was to being a linear function of another vector X,
it would be reasonable to view this as how parallel they are, and that
in turn can be cast as how closely the orthogonal project of Y on X
resembles Y.
Now let X and Y be two random variables, and treat them as vectors in

Meaning of (Pearson ) correlation: what is being measured.?

2010-03-11T19:28:11Z

Hi, everyone:
I am trying to understand better just what it is that is being measured by Pearson correlation. I know formally that , given values X1,..,Xn and Y1,..,Yn (i.e., values taken from quantitative variables X,Y on the same case. ) , that the coeefficient r measures the degree to which linear change in Y follows from change in X. But I

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Free STPLAN--Calculates sample size, power, minimal detectable difference

2010-03-11T16:12:30Z

Announcing STPLAN-4.5: Calculates power, requisite sample sizes,
minimal detectable differences. Command line interface only.
SPLAN-4.5.tar.gz is available (free) from:
[link]
The package includes Fortran source and makefile, Windows and

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Benford's Law ?

2010-03-11T13:12:30Z

Hello,
Not a mathematician, but have been reading up a bit on Benford's law.
Trying to understand it. Particularly its limitations.
Glad I found this Group.
Questions:
a. If we assume we have a truly random distribution of numbers, does
the law apply ?
b. In general, can someone please outline the limitations of the law,

Re: Symmetric Kullback Liebler Divergence

2010-03-11T10:38:28Z

Thanks for the pointers, I will definitely look into the Fisher-Rao
metric.

Re: Basic Question: What Does Variance Measure.?

2010-03-11T10:06:34Z

Variance is often a more convenient mathematical entity to work with.
For instance var(x+y) = var(x)+var(y) if x and y are not correlated.
As Greg pointed out, as variance is just the second central moment it is
this which is calculated and the st dev derived from it.

Re: Basic Question: What Does Variance Measure.?

2010-03-11T08:25:24Z

You've got it backwards:
1. Estimate the variance
2. Take the square root to find the standard deviation.
Hope this helps.
Greg

Basic Question: What Does Variance Measure.?

2010-03-11T08:00:20Z

Hi, everyone:
Just curious about variance: I think I understand
that/how standard deviation measures spread for
"reasonable" data(mostly symmetric, no outliers).
I just cannot see just what information we get
by squaring the st. dev. Other than getting the
square of the avg. deviation. Still, once we know

Hypothesis test on time serial data

2010-03-10T19:38:20Z

Is there any hypothesis test can be used to detect significance between two datasets consist of time serial data, for instance, the intensity value of protein against time under different condition (FLIP-FRAP data per se).
I am currently performing a standard KS-test between the average fitting curves of two dataset, which I knew has not been discussed in the application of the KS-test. I also tried to calculate the mean value for each curve and perform a Student T-test on the two curve-mean datasets, but it does not reject null hypothesis even two curves are totally different.

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