In sci.stat.edu John Hendrickx <[EMAIL PROTECTED]> wrote:
[snip]
: There is also some debate on using weights for stratified sampling and/or
: to correct for sampling bias. Weighting leads to correct estimates but
: incorrect standard errors.
Weights often get blamed for things that are not t
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- Original Message -
From: John Hendrickx <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Wednesday, March 15, 2000 1:22
AM
Subject: Re: When *must* use weighted
LS?
| In article <8am7d1$hqj$[EMAIL PROTECTED]">8am7d1$hqj$[EMAIL PROTEC
In article <8am7d1$hqj$[EMAIL PROTECTED]>,
[EMAIL PROTECTED] says...
>
> I think I made the formulation too wordy in previous
> post.
>
> Let me try this simple question:
>
> When one wishes to do a (multi)linear regression on a set of
> observed data, and one is in the (unusual) position o
On 14 Mar 2000 20:28:17 GMT, Ron Bloom <[EMAIL PROTECTED]>
wrote:
>
> I think I made the formulation too wordy in previous
> post.
>
> Let me try this simple question:
>
> When one wishes to do a (multi)linear regression on a set of
> observed data, and one is in the (unusual) position of p
I think I made the formulation too wordy in previous
post.
Let me try this simple question:
When one wishes to do a (multi)linear regression on a set of
observed data, and one is in the (unusual) position of possessing
a set of sample standard deviations (of varying degrees of f.)
at each v
