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Activity Number: 543
Type: Contributed
Date/Time: Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #308456
Title: Some New Normality Tests Using Kernel Density Estimators
Author(s): Yishi Wang*+
Companies: Western Carolina University
Address: Math and Computer Science Dept, Cullowhee, NC, 28723,
Keywords: normality test ; density estimators of convolutions
Abstract:

In this paper, we propose some new tests of normality using root-n consistent density estimators. Simulation shows that these tests has a better power compared with the test proposed in Arcones and Wang (2006). The consistency and asymptotic properties of the proposed tests will be discussed.

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Revised September, 2007