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Electronic
Access to IMS Journals
Individual Members
Electronic access to IMS journals is gratis for all IMS individual
members, through Project Euclid. See below for account set-up
instructions. ArXiv provides free open access to journal articles.
Project
Euclid Registration Instructions for Individuals
If you are an IMS member you may receive individual login access to
IMS journals in Project Euclid as part of your membership. Please
follow the instructions below.
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Registration Instructions:
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Click here:
Project Euclid account set up.
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Fill out the required information (as indicated
in red).
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Your Euclid User ID can be anything you wish,
something that will be easy for you to remember.
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In the "Personal Subscription Registration" section, select
"Institute of Mathematical Statistics Core Journals" in the pull-down
menu. This will give you access to all five IMS core journals (Annals
of Applied Probability, Annals of Applied Statistics, Annals of
Probability, Annals of Statistics and Statistical Science)..
- Below this enter the subscriber code - this is your membership ID.
If you do not have this number you can get it by contacting the IMS with your full name and institution.
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Click on "Create Profile".
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Now you should be able to access the IMS journals
(click on "Journals" at the top of the page) and
search all IMS journals.
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Next time you visit Project
Euclid you merely need to log in and then you can access
all IMS journals.
arXiv
All IMS articles 2004 and forward are freely available in a postprint format on arXiv, as well as those articles posted by authors.
ArXiv is an open access, fully automated electronic archive and
distribution server for research articles, now owned and operated by
Cornell University, and partially funded by NSF. The main fields it
covers are physics, mathematics, non-linear science, computer science,
and quantitative biology. Recently, arXiv has cooperated with IMS and
the Bernoulli Society to open up a new statistics category within
mathematics. We expect this category to eventually grow into a top
level archive comparable to e.g. mathematics and physics.
For more information, please see here.
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