Detection of the Presence of Seasonal Effect for Some Selected Trending Curves and Choice of Model in Time Series Data
This study discusses detection of the presence of seasonal effect and choice of model in time series data. This study considers the nature of linear, quadratic and exponential trending curves and model structure. The test is constructed in the row and overall variances of the Buys-Ballot table. Empirical example is used to determine the appropriate model for decomposition of the study data.
Authors
- Kelechukwu C. N. Dozie
Institutions
- Imo State University (NG)
Publication Details
- Journal
- Asian Journal of Probability and Statistics
- Published
- 2024-12-03
- DOI
- https://doi.org/10.9734/ajpas/2024/v26i12683
- Primary Topic
- Forecasting Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00