DocumentCode :
1545765
Title :
A set-of-numbers is NOT a data-set
Author :
Ascher, Harold E.
Author_Institution :
Harold Ascher & Assoc., Potomac, MD, USA
Volume :
48
Issue :
2
fYear :
1999
fDate :
6/1/1999 12:00:00 AM
Firstpage :
135
Lastpage :
140
Abstract :
Evans (1997) and Rees (1997) have emphasized that great care is needed to obtain good data because, otherwise, garbage in leads to garbage out. This tutorial demonstrates that, even when one has good data, the results still are incorrect if data analysis is performed incorrectly. A central issue in correct statistical analysis is determining the context within which the data arose; and resolving the inherent ambiguities in interpreting failure-data makes it essential to incorporate such a context into reliability data analyses. When this is ignored, as is usually the case (a set-of-numbers is treated as if it were an entire data-set, thus ignoring other essential information), even good data in results in garbage out
Keywords :
failure analysis; reliability; statistical analysis; chronological order; correct statistical analysis; data analysis; failure-data interpretation; good data; nonrepairable item; number at risk; reliability data analyses; repairable system; Data analysis; Data engineering; Failure analysis; Random variables; Reliability engineering; Stochastic processes; Stress; Terminology;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.784271
Filename :
784271
Link To Document :
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