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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.
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Project Euclid
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All issues
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arXiv
Probability section
Statistics section
(via the UC Davis front)
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All IMS articles 2004 and forward in a postprint format
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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: MyEuclid account set up.
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Fill out the required information (as indicated
in red).
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Your Euclid User ID should be your email address.
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In the "Personal Subscription Registration" section on the right-hand side, 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 MyEuclid Account" button.
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Now you should be able to access the IMS journals from its Euclid homepage 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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