Pooi, Ah Hin * and Soo, Huei Ching * (2012) A test for normality in the presence of outliers. In: ISM International Statistical Conference (1st). Proceedings, 4  6 Sept 2012, Dept. of Mathematics, UTM, PERSADA, Johor Bahru.

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Pooi Ah Hin  A test for nromality in the presence of Outliers.pdf  Submitted Version Download (424kB)  Preview 
Abstract
The JarqueBera test is a test based on the coefficients of skewness (S) and kurtoss (K) for testing whether the given random sample is from a normal population. When the random sample of size n constains m outliers, we use the remaining n  m observations to compute two statistics S* and K* which mimics the statistics S and K. The statistics S* and K* are next transformed to z1 and Z2 which are uncorrelated and having standard normal distributions when the original population is normal. We show that the acceptance region given by a circle in the z1  z2 plane is suitable for testing the normality assumption.
Item Type:  Conference or Workshop Item (Paper) 

Uncontrolled Keywords:  JarqueBera test; outliers 
Subjects:  Q Science > QA Mathematics 
Divisions:  Sunway University > School of Mathematical Sciences > Department of Applied Statistics 
Depositing User:  Ms. Molly Chuah 
Date Deposited:  11 Jan 2014 13:48 
Last Modified:  13 Mar 2019 03:49 
URI:  http://eprints.sunway.edu.my/id/eprint/198 
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