OK will do. Still, looking forward to your take on the conditions of
capital using your statistically superior method. Actually, can't wait.
But enough idle banter.
dms
> Please go right ahead and do a better analysis
> of the two industries in question using your
> spacecraft.. Challenger or Columbia?
Neighter Challenger or Columbia.
In my language it is called:
Ananin Ami!
If you don't know what it means, go and check a
Turkish dictionary!
Best,
Sabri
e: [PEN-L] Stats & OED: [Was Re: demo fervor]
> >> Hey dms!
> >>
> >> Tell me how you are planning to conduct that
> >> concrete analysis?
> >>
> >> Sabri
> >___
> > Ask and you shall receive...
>
>> Hey dms!
>>
>> Tell me how you are planning to conduct that
>> concrete analysis?
>>
>> Sabri
>___
> Ask and you shall receive...
And I just took a look at what you sent.
It is full of "statistical obscurantism" and
inferences from them, possibly some of which are
- Original Message -
From: "Sabri Oncu" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Friday, February 27, 2004 11:34 PM
Subject: Re: [PEN-L] Stats & OED: [Was Re: demo fervor]
Hey dms!
>
> Tell me how you are planning to conduct that
dms:
> Personally, I think there is much more to be
> gained from the concrete analysis of the concrete
> conditions of exchange, production, overproduction,
> and profit, here and now, then and there, or any
> combination thereof.
Hey dms!
Tell me how you are planning to conduct that concrete
a
> Q:
> Is this the same as regression to the mean?
> Thx
> H
Hi Hari,
Good to hear from you! How is our mutual friend doing?
It is not the same as regression to the mean.
Regression to the mean is a different concept
associated with that those below the mean will do
better and move up, whereas
throwaway remark, reflecting, in
my opinion, the throwaway nature of election statistics.
dms
- Original Message -
From: "Hari Kumar" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Friday, February 27, 2004 7:23 PM
Subject: [PEN-L] Stats & OED: [
Sabri Oncu :
"Heteroskedastic means non-constant variance. If you look at the way the data
varies with time, the
fluctuations are larger initially and the fluctuations attenuate as the time
progresses, although they appear
to get larger again towards the end.
Moreover, you just have 13 observatio
