Archive for the 'Statistics' Category

Research Data Services at UVa

The University of Virginia Library has a growing suite of Research Data Services to benefit faculty and student researchers throughout the UVa community. This fall, we’re hosting weekly Data Services Open Office Hours in Bavaro Hall and StatLab Open Office Hours in Alderman. Come by and ask us questions!

 

In Bavaro Hall 306 (the Curry Library and Innovation Commons), you can find:

 

  • Mondays, 1-3: Statistical consulting with StatLab — StatLab provides advice and training on data analysis and the use of statistical software (for more, see http://statlab.library.virginia.edu/statistical-consulting/)
  • Tuesdays, 1-3: Metadata management — Metadata services consults with researchers on issues related to information organization, including arranging data, describing data, and choosing metadata scheme or developing controlled vocabularies. If you’re planning a new collection or preparing to archive a collection, metadata management can help.
  • Wednesdays, 1-4: Research computing support (ITS) — Research computing support assists with the licensing, distribution and use of research-related software (e.g., statistical and mathematical software, see http://its.virginia.edu/research/ for more)
  • Thursdays, 2-4: Data management consulting — The data management consultants help researchers develop data management plans, provide guidance on data workflows for research projects (e.g., file formatting and organization, security and storage), and advise on data sharing and archiving (e.g., data policies, data documentation)

 

StatLab Hours: Tuesdays through Fridays, 1-3 In Alderman 523 — Statistical consultants will be available to talk with you about your data analytic challenges

 

And if the day’s Open Office Hours host can’t answer your question, they’ll direct you to someone who can.

 

See you this fall,

 

Michele Claibourn
Lead, Research Data Services & Head of StatLab
University of Virginia Library
mclaibourn@virginia.edu
(434)  924-DATA
statlab.library.virginia.edu

Introducing StatLab! — The UVa Library’s Applied Statistical Consulting Service

Need help with data analysis or statistical methods?  Have a question about how to use statistical software?  Wondering what’s the  best statistical method for your research or project?  Get the help you need at the University of Virginia Library‘s StatLab!  StatLab offers individual consultations and FREE workshops.  Learn more at statlab.library.virginia.edu

StatLab Announcement

Virginia SAS Users Group Meeting

Join us for the Virgina SAS Users Group Spring Meeting
March 28th from 9 AM to 3 PM at the Tuckahoe Public Library

Meeting Agenda:

9:00 –  9:30  Morning Meet & Greet
9:30 – 10:30 Why the Bell Tolls 108 times? Stepping Through Time with SAS® – Peter Eberhardt
10:30 – 11:00 Break
11:00 – 12:00 The SAS® DATA Step: Where Your Input Matters – Peter Eberhardt
12:00 –  1:00  Networking Lunch
1:00 – 2:00   Three short topics: Import & Freq & SummaryJohn Meyers
2:30 – 3:30   R U Experienced? Using SAS and R Together – Brian Adams

Remember: Students get in Free!

 Contact Brian Adams btadams478@gmail.com  for more details.
Thank you to SunTrust for sponsoring this meeting!

Particle Discovery and the Role of Bayes in Design of Hypothesis Tests

Statistics Colloquium

Tuesday, Feb 21st at 4pm in Clark 107, University of Virginia

Speaker:  Richard Lockhart from Simon Fraser University

The discovery of the pentaquark, announced in Stepanyi et al (2003). Phys Rev Lett, 91, 252001, illustrates the problem of finding bumps in histograms as evidence of the existenceof hitherto  undetected particles.  The later retraction of a claim based on a P-valuebelow 3 parts in a billion illustrates the need for some care in designing hypothesis tests. I will discuss the Poisson process models used and the resulting tests for missing components in a mixture.  I propose to apply prior distributions describing the sought after bump and indicate the nature of resulting Neyman Pearson tests.  The discussion has a few features which I think merit attention: 1) I recommend the use of sample size dependent priors to design good tests; 2) I draw an analogy between this problem and goodness-of-fit; 3) I am led to test statistics whose asymptotic law is that of the integral of a log-Gaussian process. If I have time I will discuss the potential use of priors in testing ill-defined null hypotheses.

SLab and ITS Software Workshop: Introduction to R

Wednesday, October 19
2:00 p.m.
Alderman Library Electronic Classroom

Introduction to R, the widely used open source statistical environment.  Instructor: Kathy Gerber.

MathSciNet Tutorials

The American Mathematical Society is pleased to announce that MathSciNet Tutorials are now available!  Learn how to take full advantage of the rich structure of the MathSciNet database.  Tutorials include – Publications, Authors, Journals, and Citations searches – as well as tutorials on the Free Tools and Preferences options.  Every user will find new features and search options that will enhance their use of the database.

Go to http://www.mathscinet.info/index.html to start using the MSN Tutorials!

Lori Sprague
Manager, Sales Administration
American Mathematical Society
Providence, RI  02904
las@ams.org
www.ams.org

Mathematica Technical Talks

Just a quick note to let you know I will be on campus to give two Mathematica technical talks on Thursday, October 13. If you haven’t seen Mathematica lately, you will be surprised to see how suitable Mathematica is for projects and course examples in any STEM, business and economics, or liberal arts field.

My talks are given 100% in Mathematica, and a big part of what I want to discuss is the exciting new free-form input in Mathematica 8. Here’s a quick video preview:

http://url.wolfram.com/bTXP-y4/

Details:

“Mathematica in Education and Research”

9-9:50am & 10-10:50am, including Q&A

Room 214, Mechanical Engineering Bldg., UVA

Attendees with no prior experience report that these talks help with getting started using Mathematica language and workflow.

All attendees will receive an electronic copy of the examples, which can be adapted to individual projects.

Please feel free to pass this invitation on to colleagues and students–please let me know if you plan to attend, so I can make sure we have enough space. I look forward to meeting you!

Thanks,

Andy Dorsett

Wolfram Research, Inc.

1-800-965-3726 ext. 3495

fax: 217-398-1108

andy_dorsett@wolfram.com

http://www.wolfram.com


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