Interval estimation in the presence of an outlier

Wong, Yoke Chen * and Pooi, Ah Hin * (2011) Interval estimation in the presence of an outlier. Sunway Academic Journal, 8. pp. 26-37. ISSN 1823-500X

SAJ_8_2011_26-37.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (614kB) | Preview


Outliers are often ubiquitous in surveys that involve linear measurements. Knowing that the presence of such extreme points can grossly distort statistical analyses, most researchers are often tempted to conveniently eliminate them from the data set without much careful consideration. In this study, we investigate the performance of confidence intervals for the population mean under the various probabilities of outlier being caused by uncorrectable human errors. The sample under study is randomly generated and subscribed to a normal distribution, and it contains only one outlier at one of the two extreme ends.

Item Type: Article
Additional Information: First author is with School of Business, University of Nottingham Malaysia Campus; second author is with Sunway University Business School
Uncontrolled Keywords: outlier; confidence interval; coverage probability
Subjects: Q Science > QA Mathematics
Divisions: Others > Non Sunway Academics
Sunway University > School of Mathematical Sciences > Department of Applied Statistics
Depositing User: Ms. Molly Chuah
Date Deposited: 29 Sep 2016 07:17
Last Modified: 13 May 2019 08:16

Actions (login required)

View Item View Item