AN APPLICATION OF TIME-SERIES ANALYSIS TO FLOWERS AND VEGETABLES

L. Venzi
The paper begins by defining the aims of spectral analysis as applied to time series data, pointing out its use as a powerful methodological tool complementary to the traditional approach to time series analysis. The contribution of spectral analysis to the mathematical statistical analysis of economic data is set in perspective as regards contributions to other forms of econometric model-building.

The price and quantity time series data for courgettes and carnations, on which the subsequent analysis is performed, is introduced and briefly discussed, in order to provide a specific background to the type of problems which arise in treating time series, and as a preliminary step towards describing more fully the concepts of spectral analysis.

Spectral methods are then outlined: the conditions under which they can be applied are defined, as are the basic concepts and the relationship with autocorrelation analysis.

Both spectral and autocorrelation analysis have been performed on the data under consideration, and in the presentation of the results the contribution of each type of analysis and the complementary of the two methods are shown.

Venzi, L. (1974). AN APPLICATION OF TIME-SERIES ANALYSIS TO FLOWERS AND VEGETABLES. Acta Hortic. 40, 205-220
DOI: 10.17660/ActaHortic.1974.40.16
https://doi.org/10.17660/ActaHortic.1974.40.16
40_16
205-220

Acta Horticulturae