Dr Jonathan Newman wrote:
>
> I'm trying to find a good introduction to REML (restricted maximum
> likelihood). I'm a biologist rather than a statistician. If you have any
> suggestions I'd great appreciate hearing them. Thanks.
Lynch & Walsh (1998)? (Genetic Analysis of Quantitative Traits,
What do i do if I need to run a factor analysis and have non-normal
distribution for some of the items (indicators)? Does Principal
component analysis require the normality assumption. Can I use GLS to
extract the factors and get over the problem of non-normality. Please
do give references if you
What is the correct pronunciation for "Akaike" as in AIC?
Thanks,
SR Millis (rhymes with "bacillus")
=
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A good book is
Pinheiro, J.C. and Bates., D.M. "mixed models with S and S-Plus",
Springer.
Kjetil Halvorsen
Dr Jonathan Newman wrote:
>
> I'm trying to find a good introduction to REML (restricted maximum
> likelihood). I'm a biologist rather than a statistician. If you have any
> suggesti
But Mahalanobis distance is sensible to swamping and masking so is it really
a good measure for outliers?
DELOMBA a écrit dans le message ...
>What about Hat Matrix ? Mahalanobis distance ?
>
>Yves
>
>
>"Voltolini" <[EMAIL PROTECTED]> wrote in message
>00f301c1be68$13413000$fde9e3c8@oemcomputer..
Rolf Dalin <[EMAIL PROTECTED]> wrote:
> Brad Anderson wrote:
>> I have a continuous response variable that ranges from 0 to 750. I only
>> have 90 observations and 26 are at the lower limit of 0,
> What if you treated the information collected by that variable as really
> two variables, one ca
The Enclyclopedia of Biostatistics (Armitage P, Colton T; Wiley,
1999?) has an article on REML.
I have not seen the article, but usually their articles well explain
statistical concepts to non-statisticians.
The Encyclopedia is a resource you might find helpful in general. For
more info, see:
[EMAIL PROTECTED] (Eric Bohlman) wrote in message
news:...
> Rolf Dalin <[EMAIL PROTECTED]> wrote:
>
> IIRC, your example is exactly the sort of situation for which Tobit
> modelling was invented.
Considered that (actually estimated a couple of Tobit models and if I
use a log transformed or bo
On 1 Mar 2002 04:51:42 -0800, [EMAIL PROTECTED] (Mobile Survey)
wrote:
> What do i do if I need to run a factor analysis and have non-normal
> distribution for some of the items (indicators)? Does Principal
> component analysis require the normality assumption.
There is no problem of non-normal
On 1 Mar 2002 00:36:01 -0800, [EMAIL PROTECTED] (Alex Yu)
wrote:
>
> I know that robust regression can downweight outliers. Should someone
> apply robust regression when the data have skewed distributions but do not
> have outliers? Regression assumptions require normality of residuals, but
> no
You don't need normality for regression. You may need it for certain
optimality properties to hold, but you can apply OLS without normality.
On 1 Mar 2002, Alex Yu wrote:
>
> I know that robust regression can downweight outliers. Should someone
> apply robust regression when the data have skewe
If, for example, normality assumption holds then by doing robust
regression instead of OLS you lose efficiency. So, it's not the same
result after all. But you can do both, compare and decide. If robust
regression produces results which are not really different from the OLS
then stay with OLS.
On
SR Millis wrote in message <[EMAIL PROTECTED]>...
>What is the correct pronunciation for "Akaike" as in AIC?
>
>Thanks,
>SR Millis (rhymes with "bacillus")
>
>
In Japanese, all letters are pronounced.
Try: Aka-ee-ke
Now try pronouncing Toyota! `y` is always a consonant in Japanese, so it
should
to amplifiy a bit, the interpretability of regression tends to go down as
the assumptions of normality and homogeneous variance are markedly
different from reality. You can still go through the calcualtions but the
interpretation of results gets tricky. Factor analysis is a sort of
regression an
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hi,
I need some advice.
I'm trying to build a predictive model for prospective account-holders
in my industry. Here's what I'm planning on doing:
1) Take a random sample of current account-holders and segment them (3
or 4 groups) based on certain internal performance criteria.
2) Build a multin
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In the Winter 2002 Quality Circle p
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