Comparison of the beef prices in selected countries of the European Union

• Authors: Stanisław Jaworski
• Languages of publication: EN

Abstracts

EN

Functional data analysis is used to examine beef price differences in selected countries of the European Union from 2006 to 2011. The prices are modeled as functional observations. The analysis is conducted in three steps relating to three kinds of functional data analysis. First the observations are smoothed with roughness penalty. Then functional principal analysis is applied. Finally functional analysis of variance is used to reveal significant difference between two given groups of countries.

Keywords

EN

B-splines basis system; functional principal component analysis; functional analysis of variance; permutation tests

• Publisher: Katedra Ekonometrii i Statystyki, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
• Journal: Metody Ilościowe w Badaniach Ekonomicznych
• Year: 2012
• Volume: 13
• Issue: 2
• Pages: 31-39

Dates

published

2012

Contributors

author

Stanisław Jaworski

• Department of Econometrics and Statistics, Warsaw University of Life Sciences – SGGW

References

• Besse P.C., Cardot H. and Ferraty F. (1997) Simultaneous nonparametric regressions of unbalanced longitudinal data. Computational Statistics and Data Analysis, Vol. 24, 255-270.
• Besse P.; Ramsay J.O. (1986) Principal components analysis of sampled functions. Psychometrika, 51, 285-311.
• Craven, P. and Wahba, G. (1979) Smoothing noisy data with spline functions: estimating the correct degree of smoothing by the method of generalized cross-validation, Numerische Mathematik, 31, 377-403.
• Gu, C. (2002) Smoothing Spline ANOVA Models”, Springer.
• Ramsay J.O, Dalzell C.J (1991) Some tools for functional data analysis (with discussion). Journal of the Royal Statistical Society, Series B, 53:539-572.
• Ramsay J.O, Silverman B. W. (2005) Functional Data Analysis. Second Edition, Springer, NY.
• Ramsay J.O, Hooker G., Graves S. (2009) Functional Data Analysis with R and MATLAB. Springer."