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Christian C. Ibebuogu

Publications (4)

The Expected Values of Buys-Ballot Estimates for Multiplicative Model with the Error Terms

Kelechukwu C. N. Dozie & Christian C. Ibebuogu · Asian Journal of Research and Reviews in Physics · 2023

The expected values of Buys-Ballot estimates with the error terms for multiplicative model in time series decomposition when trend-cycle component is linear is discussed. The expected values of Buys-Ballot estimates of row, column and overall means with the error terms are derive...

Open access Research Article 10.9734/ajr2p/2023/v7i4151

Statistical Properties of Buys-Ballot Estimates for Multiplicative Model with the Error Terms

Kelechukwu C. N. Dozie, Dozie , Kelechukwu C. N., Christian C. Ibebuogu & Ibebuogu, Christian C. · Asian Journal of Research in Computer Science · 2023

In this study, we discuss statistical properties of Buys-Ballot estimates for multiplicative model with their error terms. The aim of this study is to characterize the properties of the row, column and overall means and variances of the Buys-Ballot table for multiplicative model...

Open access Research Article 10.9734/ajrcos/2023/v16i3360

Basic Properties of Buys-ballot Seasonal Variances Estimates for Choice of Models in Time Series

Kelechukwu C. N. Dozie & Christian C. Ibebuogu · Asian Journal of Advanced Research and Reports · 2023

This article presents basic properties of Buys-Ballot estimates for seasonal variances for the mixed, multiplicative and additive models in time series. The emphasis is to characterize the basic properties of seasonal variances for purpose of choice of model. In this article, the...

Open access Research Article 10.9734/ajarr/2023/v17i2466

Decomposition with the Mixed Model in Time Series Analysis using Buys-Ballot Procedure

Kelechukwu C. N. Dozie & Christian C. Ibebuogu · Asian Journal of Advanced Research and Reports · 2023

This article provides a general overview of the decomposition with the mixed model. The decomposition of such series into various components requires a method that can adequately estimate and investigate the trend parameters, seasonal indices and residual component of the series....

Open access Research Article 10.9734/ajarr/2023/v17i2465