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ARDA: expert system for reliability data analysis
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Source International Conference on APL archive
Proceedings of the international conference on APL table of contents
Toronto, Ontario, Canada
Pages: 1 - 5  
Year of Publication: 1993
ISBN:0-89791-612-3
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Authors
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SIGAPL: ACM Special Interest Group on APL Programming Language
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ACM  New York, NY, USA
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ABSTRACT

The paper explores the design and implementation of ARDA, an Expert System to analyse Reliability Data. Initially the viability of the knowledge domain is explored. The philosophy of design of the system is discussed. Details of the implementation are described. There is discussion of extension of system to other statistical analyses and of using alternative inferential bases.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
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Acher, H, and Fiengold, H, {1984}, Reliability of Reparable Systems, Marcell Dekker: New York.
 
3
Cox, DR, and Lewis, PAW, {1966}, The Analysis of Series: of Events:, Methuen, London.
 
4
Cox, DR, and Oakes, D, {1984}, Analysis of Survival Data, Methuen, London.
 
5
Cox, DR, and Snell, ES, {1971}, 'Applied Statistics', Chapman Hall, London.
 
6
Frey, RJ, {1992}, 'Object Oriented Extensions to APL and J', Vector, 9, 116-125.
 
7
IBM Research, (1992), A Graphical Statistical System (AGSS) Reliability Analysis, IBM Research, Yorktown Heights, New York.
 
8
Lawless, JF, {1982}, Statistical Models and Methods for Lifetime Data, J Wiley & Sons, New York.
 
9
Lewis, PAW, {1993}, 'A Graphical Statistical System AGSS', APL '93.
 
10
MacDonald, JB, and Richards, DO, {1987}, 'Model Selection: Some generalized Distributions', Proc Reliability '87, Birmingham, UKAEA, Culcheth.
 
11
Mann, NR, Schafer, RE, and Singpurwalla, ND, {1974}, Methods for the Statistical Analysis of Reliability and Life Data, J Wiley & Sons, New York.
 
12
Nelder, J, {1990}, Talk given to RSS Seminar on Future of Statistical Computing', Royal Institution , London.

Collaborative Colleagues:
Jake Ansell: colleagues
Mulhim Al-Doori: colleagues