The new semester has started and one of my first assignments has been to
find some datasets that I'd be interested in evaluating during some of my
classes.
I spent some time searching the Internet for some interesting data. The
data available on StatLib is not exactly what I'd prefer to study
(a
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of Shareef Siddeek
Sent: Friday, January 04, 2002 1:22 PM
To: [EMAIL PROTECTED]
Subject: Excel2000- the same errors in stat. computations and graphics
Happy new year to all.
I frequently use Excel2000 for
"Chia C Chong" <[EMAIL PROTECTED]> wrote in message
a145qk$qfq$[EMAIL PROTECTED]">news:a145qk$qfq$[EMAIL PROTECTED]...
> Hi!
>
> I have a series of observations of 2 random variables (say X and Y)
from my
> measurement data. These 2 RVs are not independent and hence f(X,Y) ~=
> f(X)f(Y). Hence, I
All three of your models: Exponential, Gamma and Weibull are of
the form a*X^s where X is Gamma with n degrees of freedom and s
and a are additional unknown parameters.
For n=s=1 we have exponential.
For s=1 we have gamma.
For n=1 we have Weibull.
Thus fit a*X^s and use the likelihood ratio
On 3 Jan 2002 20:17:48 -0800, [EMAIL PROTECTED] (Lucas Wells)
wrote:
[ snip, detail ]
>
> Now, I look at these percentages and I think to myself, 'They're
> percentages of a whole. If one goes up, then another must fall. It
> doesn't seem to make sense to examine them as if they are measures
>
Happy new year to all.
I frequently use Excel2000 for graphic presentation, spreadsheet maths,
simple nonlinear model fitting (using the Excel solver) with one or two
parameters, and simulations. I thought Excel2000 corrected those errors
found in the analysis tool pack and other in-built comput
Lucas Wells wrote:
> So, what I often see, then is:
>
> Orders (note: presented as Aug, Sep, Oct):
>
> Orders Issue: 1, 9000, 9500
> Orders With Errors: 2000, 2500, 2250
> % Orders With Errors: 20%, 27.78%, 23.68%
>
> Fields With Errors:
>
> Name Field: 750, 1000, 1100
> Address Field: 7
Hi!
I have a series of observations of 2 random variables (say X and Y) from my
measurement data. These 2 RVs are not independent and hence f(X,Y) ~=
f(X)f(Y). Hence, I can't investigate f(X) and f(Y) separately. I tried to
plot the 2-D kernel density estimates of these 2 RVs and from the it look
