Detection of the Presence of Seasonal Effect for Some Selected Trending Curves and Choice of Model in Time Series Data

Kelechukwu C. N. Dozie *

Department of Statistics Imo State University, Owerri, Imo State, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

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.

Keywords: Decomposition model, row variance, overall variance, buys-ballot table, trending curves, seasonal indices, choice of model


How to Cite

Dozie, Kelechukwu C. N. 2024. “Detection of the Presence of Seasonal Effect for Some Selected Trending Curves and Choice of Model in Time Series Data”. Asian Journal of Probability and Statistics 26 (12):51-68. https://doi.org/10.9734/ajpas/2024/v26i12683.

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