FINAL MANUSCRIPT PREPARATION
CASE STUDIES IN BAYESIAN STATISTICS
WORKSHOP 5 - 1999



After your manuscript has been accepted for inclusion in the Springer Verlag series of Case Studies in Bayesian Statistics, it should be submitted in camera-ready form.

In order to compile and publish this volume as soon as possible after the workshop, Springer-Verlag has given us access to a LaTeX style file to use in formatting your manuscript. It is available from either of these sources:


anonymous ftp from ftp.springer-ny.com/pub/tex
(cd to latex209 and get svcon.sty, readme.doc, and svlatex.doc)
or
(cd to latex2e and get svcon2e.sty, readme.doc and svlatex.doc)

OR

the World Wide Web - http://www.springer-ny.com

go to "For Authors"
(select "LaTeX 2.09 Macros" and downlad svcon.sty, readme.doc, and svlatex.doc)
or
(select "LaTeX2e Macros" and download svcon2e.sty, readme.doc, and svlatex.doc)

At each site, the files called readme.doc (a general information file) and svlatex.doc (a sample svcon.sty document), should be very helpful to you in setting up your paper.

I have also prepared a sample document, which you may use as template for your paper. Select either Invited, Contributed or Discussant template.

Manuscripts should be emailed to Heidi Sestrich (at the address below). Please send the latex file as well as any included .ps files, and any additional .sty files you have used to run your paper. It is also helpful if you send a hard-copy via regular mail.

Guidelines on Length
Length will be determined mainly from editorial considerations, but here are our guidelines based on estimated space constraints:

Invited papersTarget: 40-50 pages*
Invited discussionTarget: 2-5 pages*
Contributed papersTarget: Maximum of 15 pages*
Contributed discussionTarget: Maximum 1-2 pages*
*Page defined according to the specification of the Springer macros

If you are not able to access either of these sites or have any questions, please contact me. I can be reached by email at heidi@stat.cmu.edu or by phone at (412)268-2718. My mailing address is

Heidi Rhodes Sestrich
Department of Statistics
Baker Hall 232A
Carnegie Mellon University
Pittsburgh, PA 15213
email: heidi@stat.cmu.edu

Thanks!
Heidi


Back to Bayes 99 Home Page