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.

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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
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article

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

Kelechukwu C. N. Dozie
Asian Journal of Probability and Statistics
Forecasting Techniques and Applications
article

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

Kelechukwu C. N. Dozie
article en

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.

Asian Journal of Probability and StatisticsVol. 26(12)
Imo State University (NG)
Openalex Percentile: Top 73%
Forecasting Techniques and Applications
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Detection of the Presence of Seasonal Effect for Some Selected Trending Curves and Choice of Model in Time Series Data — Kelechukwu C. N. Dozie · Asian Journal of Probability and Statistics (2024) | TGRS Research Map | TGRS