sci.stat.math Google Group

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Re: Outliers which are very large yet very infrequent

2010-03-18T18:50:45Z

This is too vague for me to understand.
Let's start with what you mean by "This method does "blind"
estimation" — What method? What is blind estimation?

Outliers which are very large yet very infrequent

2010-03-18T18:02:15Z

Hi,
I have a problem where outliers occur very infrequently (less than
0.25% of the time), but when they do occur they are very large. So
large in fact that they have a small, but non-trivial effect on the
variance and to a lesser degree the mean. This method does "blind"
estimation, so I don't know that a value is an outlier when it occurs

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Re: Seeking Excel function for bivariate normal cdf

2010-03-18T17:26:23Z

Perfect, thank you.

Re: ID'ing Bias In Data ?

2010-03-18T17:06:12Z

Thanks Mr. Kendall. After further reflection I don't think the county
vs. State will be an issue, more of a thought I guess. I am
definitely going to try your suggestion. Thanks.

Re: ID'ing Bias In Data ?

2010-03-18T16:52:14Z

Why do you think that the form of government would influence the
numbers? Different methods of gathering the data?
Also what about States where counties are mostly for Census and a few
functions and localities are the bodies that serve most of the functions?
You might be able to get some additional variables from the City County

Re: ID'ing Bias In Data ?

2010-03-18T16:07:03Z

Thanks to all ! One thing, I do have percentages and in some cases
these percentages could be different from county to county due to the
State having county administered governments rather than a State
administrated government, to be safer, should I take this in to
account?

Re: ID'ing Bias In Data ?

2010-03-18T15:43:31Z

Reading between the lines it seems that you may have percents. Percents
on different bases are not additive. To get aggregate measures
(national, regional) you need to go back to numerators and denominators
as separate variables.
For example think of a state with 2 counties. County A has 1 homicide

Re: ID'ing Bias In Data ?

2010-03-18T14:59:04Z

Paul Velleman has a nice talk in which he gives some county based statistics
and their "analysis". Marvelous story behind why the good ones are good and
localized with an equally marvelous story about the bad ones which
unfortunately
have the same localization. Both stories are bogus (but sound all too common!)

Re: ID'ing Bias In Data ?

2010-03-18T14:58:13Z

Are these scores attempting to measure something relating to an
individual resident (such as crime rate per 1,000 population, or
average income) rather than something relating to the county
administrative level (where a county has one government regardless of
its population)? If it's at the individual level, you could try

ID'ing Bias In Data ?

2010-03-18T14:42:50Z

I am drawing a blank on this one. I have individual county scores
(numeric values, ratio level, scores by each county can range from 0%
to 99% and I have over 2,500 county scores). I am guessing that
States with more counties could bias the results at a national level,
however, I am drawing a blank on how I can determine if the bias

Re: Seeking Excel function for bivariate normal cdf

2010-03-18T10:07:32Z

A little googling quickly finds a couple of readily and freely available
solutions:
1. [link]
=> workbook [link]
(enable macros, of course; just tested it, simple, works, VBA not protected
so you can get the function itself)

Re: Data Randomisation /mean of randomised data

2010-03-18T09:23:41Z

On Mar 18, 1:35 am, Konstanze Krueger <konstanze-krue...@usa.com>
wrote:
If all you want to do is shuffle the offdiagonals then there's no
need to actually do it. For each offdiagonal cell, the distribution
of the shuffled values will be exactly the same as the observed
distribution of offdiagonals.

Re: Data Randomisation /mean of randomised data

2010-03-18T08:35:58Z

Ray Koopman schrieb:
Dear Ray,
answers are pasted below
for both questions: yes!
Yes, we would like to shuffle offdiaginale values.
Generate a new matrix randomly with the
Behaviour counts for pairs differ depending on the direction they are
displayed. For instance A display 3 threats towards B, and B displays 5