Skip to Main Content

Statistics Colloquium: Dr. Nabendu Pal

Univ of Louisiana- Lafayette

Friday, November 3, 2017
11:00 AM - 12:00 PM
On Campus : MP401

Title: Inferences for a Skew-Normal Distribution

Abstract: A three parameter Skew-Normal distribution (SND), which is an interesting generalization of the usual two parameter normal distribution, is getting a lot of attention lately due to its flexibility to accommodate both positively skewed as well as negatively skewed shapes, apart from the symmetric shape, to model various types of datasets. Though a lot of work has been done to characterize SND, and deriving many of its distributional properties, relatively less efforts have been devoted to inferences on the model parameters due to some intrinsic complexities. In this talk we will focus on hypothesis testing on the location parameter of SND with an application of comparing two Gamma distribution means.

[This talk is based on our ongoing comprehensive research where we plan to touch upon testing problems related all the three SND model parameters.]