Fourier Series Analysis Of Seasonal Time Series Data:- Okereke, Okorafor E.
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ABSTRACT
This study considered foe application ofFourier Series Analysis (FSA) to seasonal time series data. The ultimate objective of foe work is to construct foe FSA model that can lead to reliable forecast. Specifically, the study evaluated data for foe assumptions oftime series analysis, applied the necessary transformation to data and fitted FSA models (Multiplicative and additive). A test based on spectral analysis was also applied with regard to each offoe models. The adequate model was then used to make forecast. In order to meet the aforementioned objectives ofstudy, the average monthly temperature data from National Root Crops Research Institute, Umudike were being used for analyses.
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APA
OKEREKE, & EMMANUEL, O. (2024). Fourier Series Analysis Of Seasonal Time Series Data:- Okereke, Okorafor E.. Michael Okpara University of Agriculture. Retrieved June 7, 2026, from http://repository.mouau.edu.ng/works/fourier-series-analysis-of-seasonal-time-series-data-okereke-okorafor-e-7-2
MLA
OKEREKE, and OKORAFOR EMMANUEL. "Fourier Series Analysis Of Seasonal Time Series Data:- Okereke, Okorafor E.." Michael Okpara University of Agriculture, 10 Jan. 2024, http://repository.mouau.edu.ng/works/fourier-series-analysis-of-seasonal-time-series-data-okereke-okorafor-e-7-2. Accessed June 7, 2026.
Chicago
OKEREKE, and OKORAFOR EMMANUEL. "Fourier Series Analysis Of Seasonal Time Series Data:- Okereke, Okorafor E.." Michael Okpara University of Agriculture (2024). Accessed June 7, 2026. http://repository.mouau.edu.ng/works/fourier-series-analysis-of-seasonal-time-series-data-okereke-okorafor-e-7-2