- file stat 97www.html ->
Statistical Web references (posted)
Here are more Sites that may be of interest.
- I will add to these or correct them,
or remove them if they are defunct, when
corrections are offered, but I am just
starting to post whatever is offered. RFU.
Bayes linear updating [B/D], Wilkerson;
Random number generation, Miller;
Actuarial exams (plus commentary);
Journal of Applied Statistical
Reasoning (with sites);
SPSS archive, JSE (SPSSX-L);
SPSS Help archive, UC, Boulder, Colo.;
Data Analysis Briefbook, CERN;
IRT - NOHARM, McArdle;
Meta analysis, Solomon;
ROC sensitivity/specificity, Metz
Software Metrics Research Lab
Kappa macros, SPSS
Spacially Oriented Research in Ecology, WSU
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
"Bayes linear updating" [B/D]
D.J. Wilkinson, 16 Jun 1997
[B/D] home page
href=http://www.ncl.ac.uk/~ndjw1/
Subject: Re: Q: Tool for Bayesian
Dr Darren Wilkinson mailto:d.j.wilkinson@newcastle.ac.uk
[B/D] is a computing environment for Bayes linear updating.
Bayes linear updating is formally equivalent to Gaussian
updating. See the Bayes linear home page:
http://fourier.dur.ac.uk:8000/stats/bayeslin/
and the [B/D] home page:
http://fourier.dur.ac.uk:8000/stats/bd/
for more info. A Windows version is available free over the net.
*--------
Normal random number generation
Alan Miller, 19 Jul 1997
alan@vic.cmis.csiro.au, milleraj@ozemail.com.au
http://www.ozemail.com.au/~milleraj
The most efficient algorithm I know is that in TOMS algorithm
712 which can be downloaded from the toms directory of netlib.
There is a Fortran 90 version at my web site.
*--------
Actuarial exams
SOA site
CAS site
http://www.soa.org
http://www.casact.org
Mark Menzie, 14 May 1997
From: mamenzie@aol.com (Mamenzie)
Subject: Re: ACTUARIAL Exam #110
Tricks about 110 revolve around solving for all the different
parameters of distributions. Sample size required to acheive a
given power, alpha etc...Solving a simple linear regression
problem given one of the parameters. Lots of maximum likliehood
and Neyman-Pearson type problems. And there are always a few
abstract problems. They do give you some tables, so you don't
need all the pdf's memorized. You should have the binomial,
hypergeometric,eponential and Poisson down pat. You should also
understand the relationships between: t and normal; normal and
chi-square; chi-square and F; and binomial, normal and Poisson.
I'm not familiar with the Freund book, but I imagine that it
covers most if not all the bases. Try getting a study guide with
old tests in it and see if you can work the problems. If you
can't from memory, look up the details in your book of choice.
The SOA syllabus of examinations lists page references for
particular topics of interest.
If you can find solution methods for the problems in your book
and the topics on the referenced pages are well covered, I would
say it's fine. Reading several different discussions on topics
you are having problems with can be helpful, too.
For 100, the major thing I remember is that there is a lot of
multivariate on it. Integration, directional derivatives,
optimization and constrained optimization. There is also some set
theory, linear algebra and a little pre-calculus geometry.
For motivation, try finding some applied problems relevant to the
field. I have not found an actuarial job to date, so I can't give
you too much insight. From what I've seen, transformations and
conditional probability are very important. Like using data about
seat belt use, driving speeds, epidemics, alcohol and drug use
etc to infer effects on future claims. The actuary also needs a
detailed understanding of regulation and certain aspects of
Economics.
The SOA and CAS have web sites with some more detailed information.
*--------
Journal of Applied Statistical Reasoning'
Zaine, 13 Jun 1997
From: zaine@aol.com (Zaine)
Check out the new 'Journal of Applied Statistical Reasoning' site at
http://www.o2.net/~jasr.html
They have a 'related statistical sites' section that is the
best I've seen.
*--------
SPSS archive
Date: Mon, 24 Mar 1997
From: "Tverdek, Edward"
The search engine is located at:
gopher://jse.stat.ncsu.edu:70/7waissrc%3A/othergroups/spssxl/spssxl
*--------
SPSS Help Archive
From: brumbaug@sobek.Colorado.EDU (Susan Brumbaugh)
University of Colorado, Boulder.
http://socsci.colorado.edu/LAB/STATS/SPSS/
- list of links to other helpful Internet resources, including:
SPSS Web Site
SPSS FTP Archive
Keywords (SPSS Publication with helpful articles)
Articles by David Nichols (from Keywords)
SPSS Macros (syntax files written by David Nichols to perform
tasks unavailable through windows)
Searchable Gopher Archive of all comp.soft-sys.spss and SPSSX-L posts
gopher://jse.stat.ncsu.edu/11/othergroups/spssxl
*--------
Data Analysis Briefbook
Date: Fri, 31 Jan 1997
From: rkb@afsmail.cern.ch
The Data Analysis Briefbook: an extended glossary
(or condensed handbook), covering subjects in statistics,
computing, analysis. Gives an overview and many formulae,
along with solid references to literature for in-depth
reading. Available on the web at URL:
http://www.cern.ch/Physics/DataAnalysis/BriefBook/
*--------
John McArdle's Home page, NOHARM
http://kiptron.psyc.virginia.edu:80/jack_mcardle/
Date: 18 Mar 1997, answer to the question:
>I'm looking for a software - NOHARM - that does analyses in the Item
>Response Theory field. It was written by Dr. Colin Fraser from the
>University of New England, Armidale, Australia. Can anyone direct me
>to this person via Internet.
*--------
Meta-analysis
Date: Sun, 13 Apr 1997
From: Paul Bernhardt
Here is a very good web site for meta-analysis. It may
lead you to an answer to your question.
http://www.mnsinc.com/solomon/MetaAnalysis.html
*--------
ROC sensitivity vs specificity
From: Charles Metz 30 Jan 1997
Subject: Re: ROCFIT and CORROC2
Any or all of our current University of Chicago software for ROC
analysis (including ROCFIT and CORROC2) can be downloaded at
http://www-radiology.uchicago.edu/sections/roc/software.cgi
*--------
Software Metrics Research Lab
From: agray@commerce.otago.ac.nz (Andrew Gray)
Subject: Papers from the Software Metrics Research Laboratory
Date: Tue, 18 Mar 1997
This is just a reminder that the SMRL has available a number of
online papers (on topics including neural network and statistical
modelling techniques applied to software metrics, multimedia metrics,
GIS metrics, authorship analysis, etc.). These can be found from the
SMRL homepage whose URL is in my signature below.
http://divcom.otago.ac.nz:800/COM/INFOSCI/SMRL/home.htm
*--------
SPSS Kappa macros available
From: nichols@spss.com (David Nichols)
Subject: Kappa macros available
... a macro that will compute Kappa for the non-square case. It's
actually been up on the SPSS ftp site since last week, at
ftp://ftp.spss.com/pub/spss/statistics/nichols/macros
in nskappa.sps. The read me file is nskappa.rm. .... The macro
computes Kappa, both ASE measures given in CROSSTABS, the
asymptotic significance for testing population Kappa=0, and
also adds 95% confidence interval bounds under the alternative
(using ASE1).
A second macro is also there, providing the multi-rater Kappa
statistic and standard error discussed by Siegel and Castellan.
This is mkappasc.sps, with read me file mkappasc.rm. I gave it
the name mkappsc rather than just mkappa, because there are
multiple versions for multiple rater problems, ....
*--------
Spatially Oriented Research in Ecology
From: Jason Thomas
Subject: spatial research web site
I am maintaining a web site called SpORE (Spatially-Oriented Research in
Ecology) which is dedicated to providing a guide to some of the resources
on the web which relate to spatial aspects of ecology, natural resource,
and statistics issues. The URL is:
http://www.wsu.edu:8080/~jthomas/spore.html
*--------*
tin newsreader
Subject: tin newsreader developments
Date: 8 May 1997
> Unfortunately the original author [of tin] does not seem to support
> it any more. Does anybody know if the maintenance has been taken
> over by somebody else ?
See .
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
Document by Rich Ulrich. E-mail to wpilib+@pitt.edu
FAQ top.
Ulrich home page.
Ulrich FAQ.
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