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Computing variance for interval data is NP-hard
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Volume 33 ,  Issue 2  (June 2002) table of contents
COLUMN: Articles table of contents
Pages: 108 - 118  
Year of Publication: 2002
ISSN:0163-5700
Authors
Scott Ferson  Applied Biomathematics, Setauket, NY
Lev Ginzburg  Applied Biomathematics, Setauket, NY
Vladik Kreinovich  University of Texas at El Paso, El Paso, TX
Luc Longpré  University of Texas at El Paso, El Paso, TX
Monica Aviles  University of Texas at El Paso, El Paso, TX
Publisher
ACM  New York, NY, USA
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ABSTRACT

When we have only interval ranges [xi, xi] of sample values x1,…, xn, what is the interval [V, V] of possible values for the variance V of these values? We prove that the problem of computing the upper bound V is NP-hard. We provide a feasible (quadratic time) algorithm for computing the lower bound V on the variance of interval data. We also provide a feasible algorithm that computes V under reasonable easily verifiable conditions.


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
V. Kreinovich, A. Lakeyev, J. Rohn, and P. Kahl, Computational complexity and feasibility of data processing and interval computations, Kluwer, Dordrecht, 1997.
 
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R. Osegueda, V. Kreinovich, L. Potluri, and R. Aló, "Non-Destructive Testing of Aerospace Structures: Granularity and Data Mining Approach", Proceedings of FUZZ-IEEE'2002, Honolulu, Hawaii, May 12-17, 2002 (to appear).
 
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Collaborative Colleagues:
Scott Ferson: colleagues
Lev Ginzburg: colleagues
Vladik Kreinovich: colleagues
Luc Longpré: colleagues
Monica Aviles: colleagues