James Ankeny wrote:
Hello,
I have a question regarding the so-called semi-studentized residual,
which is of the form (e_i)* = ( e_i - 0 ) / sqrt(MSE). Here, e_i is the ith
residual, 0 is the mean of the residuals, and sqrt(MSE) means the square
root of MSE. Now, if I understand
Can anybody tell me the difference between the maximum likelihood
method and prediction error method. Can anyone suggest me the useful material.
Thanks
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Per Kallblad wrote:
Hi,
I am looking for high-quality source code (f77, f90 or C) to perform
Principal Component Analysis (PCA). I would be most grateful for
information on where to find such code.
all what you need is a routine for calculating eigenvalues and -vectors.
You might look for
One what? Any statistic that depends on the units used seems rather
arbitrary to me. If I compute the range of weights of a group of people
(in kilograms) I ought to get the same actual *weight* as an American
using pounds or a Brit using stones.
On a lighter note - sorry -
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Dear EdStat readers,
The second announcement for The Sixth International Conference on
Teaching Statistics is available on the ICOTS 6 website at
http://www.beeri.org.il/icots6/
The conference, which will be held from July 7-12, 2002, in Durban,
South Africa, will have the theme Developing a
Some of those who think that estimation of the size of effects is more
important than the testing of a nil hypothesis of no effect argue that we
would be better served by reporting a confidence interval for the size of
the effect. Such confidence intervals are, in my experience, most often
At 03:45 PM 10/9/01 -0400, Wuensch, Karl L wrote:
Some of those who think that estimation of the size of effects is more
important than the testing of a nil hypothesis of no effect argue that we
would be better served by reporting a confidence interval for the size of
the effect. Such
Title: RE: Standardized Confidence Intervals
Dennis..yes, the effect size index may be arbitrary, but for argument sake, say I have a measure of 'self-esteem', a 10 item measure (each item a 5-pt. Likert scale) that has a range of 10-50; sample1 has a 95% CI of [23, 27] whereas a
Per Kallblad [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]...
Hi,
I am looking for high-quality source code (f77, f90 or C) to perform
Principal Component Analysis (PCA). I would be most grateful for
information on where to find such code.
You can find PCA code in f77 and C at
At 03:04 PM 10/9/01 -0700, Dale Glaser wrote:
Dennis..yes, the effect size index may be arbitrary, but for argument
sake, say I have a measure of 'self-esteem', a 10 item measure (each item
a 5-pt. Likert scale) that has a range of 10-50; sample1 has a 95% CI of
[23, 27] whereas a
At 03:04 PM 10/9/01 -0700, Dale Glaser wrote:
It would seem that by standardizing the CI, as Karl suggests, then we
may be able to get a better grasp of the dimensions of error...at
least I know the differences between .25 SD vs. 1.00 SD in terms of magnitude
well, yes, 1 sd means
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