In article ,
Greg Heath <[EMAIL PROTECTED]> wrote:
>From: Herman Rubin <[EMAIL PROTECTED]>
>Newsgroups: sci.stat.consult, sci.stat.edu, sci.stat.math
>> In article ,
>> Greg Heath <[EMAIL PROTECTED
From: Herman Rubin <[EMAIL PROTECTED]>
Newsgroups: sci.stat.consult, sci.stat.edu, sci.stat.math
> In article ,
> Greg Heath <[EMAIL PROTECTED]> wrote:
> >Date: Fri, 28 APR 2000 00:00:45 GMT
> >From: [EMAIL PROTECTED]
>
> ..
Date: Fri, 28 APR 2000 16:04:34 -0400
From: Rich Ulrich <[EMAIL PROTECTED]>
> On Fri, 28 Apr 2000 03:31:45 -0400, Greg Heath
> <[EMAIL PROTECTED]> wrote:
>
> < snip, various >
> > My simulation currently assumes that the residuals are Gaussian. If
> > this is a bad assumption, I need to know
On Fri, 28 Apr 2000 03:31:45 -0400, Greg Heath
<[EMAIL PROTECTED]> wrote:
< snip, various >
> My simulation currently assumes that the residuals are Gaussian. If
> this is a bad assumption, I need to know ASAP to prevent higher level
> decision makers from making some very costly mistakes.
<
In article ,
Greg Heath <[EMAIL PROTECTED]> wrote:
>Date: Fri, 28 APR 2000 00:00:45 GMT
>From: [EMAIL PROTECTED]
...
>One variable, 20 measurements per second, 26.25 seconds (526 measurements).
>The 1/e dec
Date: Fri, 28 APR 2000 00:00:45 GMT
From: [EMAIL PROTECTED]
> > 1. Randomly draw, with replacement, 526 measurements.
>
> You are only justfied in resampling in this way if you know that all
> your observations are iid. I didn't quite follow your problem but it
> sounds that the iid assumption i
Date: Thu, 27 APR 2000 17:17:05 -0400
From: Rich Ulrich <[EMAIL PROTECTED]>
> On Wed, 26 Apr 2000 20:43:02 -0400, Greg Heath
> <[EMAIL PROTECTED]> wrote:
>
> > Can you help or lead me to the appropriate reference?
> >
> > I have 526 radar measurements evenly sampled over 26.25 sec (i.e., pulse
Date: Wed, 26 APR 2000 22:05:01 -0400
From: Zubin <[EMAIL PROTECTED]>
> Yes, I believe your methodology will work. However, you should sample a
> window of data rather than a single data point when you calculate your
> re-sampling statistics. I am not sure on the window size, though.
1. Based
> 1. Randomly draw, with replacement, 526 measurements.
>
You are only justfied in resampling in this way if you know that all
your observations are iid. I didn't quite follow your problem but it
sounds that the iid assumption is not justified. If your obs were iid
then there would probably be
On Wed, 26 Apr 2000 20:43:02 -0400, Greg Heath
<[EMAIL PROTECTED]> wrote:
> Can you help or lead me to the appropriate reference?
>
> I have 526 radar measurements evenly sampled over 26.25 sec (i.e., pulse
> repetition frequency = 20 points per second).
>
> mean = 0.0
> stdv = 1.2
> t0
Yes, I believe your methodology will work. However, you should sample a
window of data rather than a single data point when you calculate your
re-sampling statistics. I am not sure on the window size, though.
zubin.
director marketing analytics
bass p.l.c.
Greg Heath <[EMAIL PROTECTED]> wrot
Can you help or lead me to the appropriate reference?
I have 526 radar measurements evenly sampled over 26.25 sec (i.e., pulse
repetition frequency = 20 points per second).
mean = 0.0
stdv = 1.2
t0= 1sec (1/e decorrelation time from the autocorrelation function)
I want to test the
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