A New Method for Goodness-of-Fit Testing Based on Type-II Right Censored Samples

機構典藏 > College of Sciences > Department of Applied Mathematics and Data Science > Journal Article > Item 987654321/41261

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/41261

Title:	A New Method for Goodness-of-Fit Testing Based on Type-II Right Censored Samples
Authors:	Lin, Chien-Tai;Huang, Yen-Lung;Balakrishnan, N.
Contributors:	淡江大學數學學系
Keywords:	Empirical distribution function (EDF) statistics;goodness-of-fit testing;Monte Carlo simulation;order statistics;type-II censoring;uniform distribution
Date:	2008-12
Issue Date:	2010-01-28 07:06:59 (UTC+8)
Publisher:	Piscataway: Institute of Electrical and Electronics Engineers (IEEE)
Abstract:	We present a simple method for testing goodness-of-fit based on type-II right censored samples. Applying the property of order statistics due to Malmquist, we can transform any conventional type-II right censored sample of size r out of n from a uniform distribution to a complete sample of size r from a uniform distribution. This result is used to develop the proposed goodness-of-fit test procedure. The simulation studies reveal that the proposed approach provides as good or better overall power than the method of Michael & Schucany.
Relation:	IEEE Transactions on Reliability 57(4), pp.633-642
DOI:	10.1109/TR.2008.2005860
Appears in Collections:	[Department of Applied Mathematics and Data Science] Journal Article

Files in This Item:

File	Description	Size	Format
0018-9529_57(4)p633-642.pdf		496Kb	Adobe PDF	1473	View/Open
A New Method for Goodness-of-Fit Testing Based on Type-II Right Censored Samples.pdf		496Kb	Adobe PDF	1	View/Open