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International Journal of Research and Scientific Innovation (IJRSI)

Estimators of the Parameters of the Quadratic Trend Model and Their Characteristics. Additive Case

byKelechukwu C.N. Dozie; Stephen O. Ihekuna

Published May 5, 2026  •  Vol. 13, Issue 4, pp. 1298–1310Open Access
DOI: 10.51244/IJRSI.2026.1304000117

Abstract

This paper discusses the Buys-Ballot estimators of the parameters of the quadratic trend model and their characteristics with emphasis on the additive model. The aim is to obtain estimators of the parameters of the series that admit the additive model. Stimulation examples are used to illustrate the characteristics of the additive model while comparing them with those of the multiplicative and mixed models. The method adopted in obtaining the estimators of the parameters are those proposed for the series that admits additive model. The results indicate that Buys-Ballot estimates for the additive model have characteristics slightly different from those of the multiplicative and mixed models. The difference occurs in the standard deviations. The standard deviation of the additive appears linear while those of the multiplicative and mixed models appear curvilinear.

Keywords: Buys-Ballot table, quadratic trend, trend parameter

JournalInternational Journal of Research and Scientific Innovation (IJRSI)
ISSN2321-2705
Volume / IssueVolume 13, Issue 4
Pages1298–1310
Publication dateMay 5, 2026
DOI10.51244/IJRSI.2026.1304000117
PublisherRSIS International
LicenseOpen Access

How to cite this article

Kelechukwu C.N. Dozie, & Stephen O. Ihekuna (2026). Estimators of the Parameters of the Quadratic Trend Model and Their Characteristics. Additive Case. International Journal of Research and Scientific Innovation (IJRSI), 13(4), 1298-1310. https://doi.org/10.51244/IJRSI.2026.1304000117

BibTeX

@article{Kelechukwu2026,
  title   = {Estimators of the Parameters of the Quadratic Trend Model and Their Characteristics. Additive Case},
  author  = {Kelechukwu C.N. Dozie and Stephen O. Ihekuna},
  journal = {International Journal of Research and Scientific Innovation (IJRSI)},
  volume  = {13},
  number  = {4},
  pages   = {1298--1310},
  year    = {2026},
  doi     = {10.51244/IJRSI.2026.1304000117},
  publisher = {RSIS International}
}