Hi,
I have a basic question that I just couldn't find an answer for.
I want to measure the % error introduced by using EWMA as against a
linear average for a *stationary* random process (not necessarily
Normal) over a given (long/short term) time window:
I am using the Chi Squared test for ano
[ I have rearranged Zar's note.] After this one,
> >>> Harold W Kerster <[EMAIL PROTECTED]> 10/29/01 04:31PM >>>
> If you define the range as max - min, you get zero, not one. What
> definition are you using.
On 29 Oct 2001 16:11:15 -0800, [EMAIL PROTECTED] (Jerrold Zar)
wrote:
> I was r
Data mining , by and large, seems to use fairly conventional
multivatiate stats tools along with a bunch of clustering procedures.
In addtion there is a lot of use of neural nets (mostly as a lazy man's
tool or a last resort, but occasionally sensibly). Data prep.
(including transformations) seem
If we have X and Y 's density function, each with independent
distribution, how do I get 1) the conditional distribution of X,
given than X>a.(a >0 and is a fixed number)
2) the conditional distribution of X, given that X <= Y.
Thanks.
jenny
===
On Wed, 31 Oct 2001, Glen Barnett wrote, in response to my comment:
> > On Sun, 28 Oct 2001, Melady Preece wrote:
> >
MP> Hi. I want to compare the percentage of correct identifications (taste
MP> test) to the percentage that would be correct by chance 50%? (only two
MP> items being tasted). C
