Decomposition with the Additive Model with Exponential Trend Curve and Detection of Seasonal Effect in Descriptive Time Series

Kelechukwu C. N. Dozie *

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

Stephen O. Ihekuna

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

*Author to whom correspondence should be addressed.


Abstract

This article examines decomposition with the additive model. The procedure of decomposition has involved the four basic components and requires a method that can adequately estimate and investigate the trend parameters, seasonal indices and residual component of the series. This article also consider test for seasonality in the additive model with exponential trend curve. The test is applied to the row and overall sample variances of the Buys-Ballot table to detect the presence of seasonal indices in time series.

Keywords: Buy-Ballot method, addive model, successful transformation, row variance, overall variance, exponential trend curve


How to Cite

Dozie , Kelechukwu C. N., and Stephen O. Ihekuna. 2023. “Decomposition With the Additive Model With Exponential Trend Curve and Detection of Seasonal Effect in Descriptive Time Series ”. Journal of Engineering Research and Reports 25 (7):166-75. https://doi.org/10.9734/jerr/2023/v25i7950.

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