Regression analysis of interval data based on error theory

Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC

Volumn , Issue , 2008, Pages 552-555

  Jun peng, Guo ^a   Wen hua, Li ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FOOD PROCESSING; METAL ANALYSIS; REGRESSION ANALYSIS; STATISTICS;

ERROR THEORY; GOODNESS OF FITS; HAUSDORFF DISTANCE; INTERNATIONAL CONFERENCES; INTERVAL DATA; INTERVAL FORECASTING; INTERVAL NUMBERS; LINEAR REGRESSION ANALYSIS; NON-LINEAR REGRESSION; REGRESSION MODELLING; SAMPLE DATA;

ERROR ANALYSIS;

EID: 49249126835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNSC.2008.4525279     Document Type: Conference Paper

References (5)

1. R. E. Moore, Interval Analysis. Prentice-Hall, Englewood Cliffs, New Jersey. 1966.
2. H. H. Bock, E. Diday, (Eds.), Analysis of Symbolic Data. Springer-Verlag Berlin, New York, 2000.
3. H. Billard, E. Diday, "Regression Analysis for Interval-Valued Data", In: Data Analysis, Classification, and Related Methods (eds. Kiers H A L, Rassoon J P, Groenen P J F, etc), Berlin: Springer-Verlag, 2000,pp. 369-374.
4. A. T. Francisco, S. Renata, C, Marie et al. Adaptive Hausdorff distances and dynamic clustering of symbolic interval data, Pattern Recognition Letters, vol. 27, Mar.2006, pp. 167 - 179.
5. J. H. Li, Error theory and measurement of uncertainty, China metrology publishing house, Beijing, 2003.