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Research Article Open access CC BY 4.0

Chi-Square Test in Time Series Data

Kelechukwu C. N. Dozie, Stephen O. Ihekuna

Asian Journal of Probability and Statistics · pp. 49–63 · Published 19 Oct 2022

10.9734/ajpas/2022/v20i3426

Abstract

This study examines the application of Chi-Square test in time series data which considers the mixed model structure and linear trending curve. The Chi-Square test is applied to the seasonal variances of the Buys-Ballot table. The emphasis is to assess the validity of the Chi-Square test using empirical examples. One hundred simulated numerical examples are used to illustrate the applicability of the Chi-Square test. Using empirical example, the Chi-Square test successfully recorded 100% of times for the mixed model. This expresses a high degree of confidence in the Chi-Square test.

Buys-Ballot method descriptive time series mixed model linear trend seasonal variance choice of model

References (9)

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Comparison of Trend Parameters and Seasonal Indices in the Presence and Absence of Missing Values of Exponential Trend-Cycle in Time Series Analysis

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