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Abstract Details
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Activity Number:
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573
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #303245 |
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Title:
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A New Exponential Goodness-of-Fit Test for Data Subject to Ordinary and Multiply Type II Censoring
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Author(s):
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Scott Lesch and Daniel R. Jeske*+
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Companies:
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Riverside Public Utilities and University of California at Riverside
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Address:
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Department of Statistics, Riverside, CA, 92507,
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Keywords:
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Goodness-of-fit ;
Order statistics ;
Quadratic forms
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Abstract:
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We begin by reviewing multiply type II censoring and give examples as to how it can arise in applications. We then present a new goodness-of-fit (GOF) test statistic for both ordinary and multiply Type II censored Exponential data. This test statistic is based on a ratio of linear functions of order statistics. We discuss results from a power study that shows the test compares favorably to currently available GOF tests.
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