Department of Mathematical Sciences

University of Nevada, Las Vegas


Statistics Colloquium/Seminar Series

2016-2017

 

[2006-2008] [2008-2009] [2009-2010] [2010-2011] [2011-2012] [2012-2013]

[2013-2014] [2014-2015] [2015-2016] [Current Year]

 

For more information, contact the Colloquium/Seminar Coordinator, Dr. Hokwon Cho

(To see Math Dept Colloquia/Seminars, click next: Math Dept Seminar)

 

Fall 2016

 

Google Talk

 

Friday, September 9, 2016
CBC-C110, 11:30 am-12:30 pm

(refreshments at 11:15 am)

Dr. Tim Hesterberg
Senior Statistician

Google Inc.

Seattle, Washington

Title: Bootstrapping for Learning Statistics


[Abstract] Statistical concepts such as sampling distributions, standard errors, and P-values are difficult for many students. It is hard to get hands-on experience with these abstract concepts.  I think a good way to get that experience is using bootstrapping and permutation tests. I'll demonstrate using a variety of examples.

They're not just for students. I didn't realize just how inaccurate the classical methods are until I started checking them using these methods. Remember that old rule of n ≥ 30? Try n ≥ 5000 instead.

The methods are also useful in their own right. We use them all the time at Google -- they are easier to use than standard methods (less chance of screwing up), besides being more accurate.


 

Google Talk

 

Friday, September 9, 2016
CBC-A110, 2:30 pm-4:40 pm

(Jobs Chat Q&A 3:30 pm-4:00 pm)

Dr. Tim Hesterberg
Senior Statistician

Google Inc.

Seattle, Washington

Title: Statistics and Big Data at Google


[Abstract] Google lives on data. Search, Ads, YouTube, Maps, ... - they all live on data. I'll tell some stories about how Google uses data, how Google is always experimenting to make improvements (yes, this includes your searches), and how we adapt statistical ideas to do things that have never been done before.

 

This is a fun talk, not technical, suitable for undergrads on up, no statistics background needed.


 

Friday, September 30, 2016
CBC-C110, 11:30 am

(refreshments at 11:15 am)

Prof. Madhuri Mulekar
Department of Mathematics & Statistics

University of Southern Alabama

Title: Population Selection based on Count Data


[Abstract] The count data are popularly described using binomial, Poisson and negative binomial distributions in managerial applications to study consumer behavior, in entomological and ecological applications to study species' behavior, and in quality control applications to study systems' behavior. For each of these distributions, several solutions under different configurations are available for the problem of selecting a best population among the k available populations. Fixed-sample-size procedures with the indifference zone approach will be discussed. Interesting differences and similarities exhibited by these three distributions in the existence of selection procedures and the consistency of selection procedures will be explored.


 

Spring 2017



 

Statistics Colloquium/Seminar Series