Tuesday, Mar 21, 2017 - 2:30pm - Allen 411
A nonparametric goodness-of-fit test
Dr. Prakash Patil, Statistics, Msstate
Title: A nonparametric goodness-of-fit test
(This talk was rescheduled from its original date of Feb 28th. Note the changed time!)
Abstract: We propose a smoothing-based goodness-of-fit test for a probability density function. The most important aspect of the test is its power against any departure from the null hypothesis. That is, the test has power against the large class of alternatives and can detect alternatives converging to null at a rate n-η where η < 1/2 and n is the sample size.