Texas A&M - Labors of Lab
A new "Labors of Lab" episode on statistics Ph.D candidate Raanju Sundararajan, Class of 2017. Studying under the advisement of Prof. Mohsen Pourahmadi, Raanju discusses his research in time series analysis, which he's using to model earthquake occurrence patterns, as well as one of his greatest learning opportunities thus far at Texas A&M: teaching.
Texas A&M ranks 6th among the nation's 50 top-valued colleges for statistics, according to a survey from GreatValueColleges.net, a national resource aimed at helping students get the most "bang for their buck" when it comes to getting a college degree.Read More →
Internationally respected Purdue University statistician William S. Cleveland visited the Texas A&M campus earlier this month as the guest speaker for the biennial Emanuel Parzen Prize Lecture Series, sponsored by the Texas A&M Department of Statistics.Read More →
No Scheduled Statistics Colloquium for February 24, 2017
All are encouraged to attend the Symposium for Faculty, Staff, Graduate Students and PostDocs in the Sciences beginning at 8:30 am in Rudder Tower, Room 601.
All Day Rudder Tower, Room 601 979-845-3143
SYMPOSIUM FOR FACULTY, STAFF, GRADUATE STUDENTS AND POSTDOCS IN THE SCIENCES:
Insight and Strategies for Professional Success, Personal Well Being and Getting Along with Others
Friday, February 24, 2017, Rudder 601, 8:30 am - 5 pm
Sponsored by the College of Science
"Everything you do matters. Every moment, every decision you make. It affects the people around you. It changes the world in a million imperceptible ways. And no matter what your reality, you can make it better. We both can."
As fellow scientists and academics, we’re here to help, whether that’s by keeping you going on your path or keeping you grounded in the present moment. Take your next first step to a successful tomorrow by registering today!
Symposium Website | REGISTER HERE | Flyer | Questions: email@example.com
Registration will close at 5:00 pm on February 20, 2017.
11:30 AM / 12:30 PM Blocker Building (BLOC), Room 113 979-845-3141
Department of Mathematical Sciences
The University of Texas at Dallas
"Asymptotic Permutation Tests in General Factorial Designs"
In general factorial designs where no homoscedasticity or a particular error distribution is assumed, the well-known Wald-type statistic (WTS) is a simple asymptotically valid procedure. However, it is well known that it suffers from a poor finite sample approximation since the convergence to its χ2-limit distribution is quite slow. This gets even worse with an increasing number of factor levels. In this talk, we discuss a general permutation approach to improve the small sample behavior of the WTS maintaining its applicability to general settings as crossed or hierarchically nested designs. In particular, it is shown that this approach approximates the null distribution of the WTS not only under the null hypothesis but also under the alternative yielding an asymptotically valid permutation test which is even finitely exact under exchangeability. Finally, its small sample behavior is compared with competing procedures in an extensive simulation study. A real data example illustrates the application of the proposed methods.
Pauly, M., Brunner, E., Konietschke, F. (2015). Journal of the Royal Statistical Society – Series B. DOI: 10.1111/rssb.12073
Friday, March 3, 2017, 11:30 AM, BLOC 113