Work

A Comparative Study between Univariate and Multivariate Linear Stationary Time Series Models

Year: 2016

Type: article

Abstract: This work compares the performances of univariate and multivariate time series models. Five time series variables from Nigeria’s gross domestic products were used for the comparative study. These series were modelled using both the univariate and multivariate time series framework. The performances of the two methods were evaluated based on the mean error incurred by each approach. The results showed that the univariate linear stationary models perform better than the multivariate models.

Source: American journal of mathematics and statistics

Authors: I.A. Iwok, A. S. Okpe

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W2550734047

FWCI:

Cites: 4

Cited by: 14

Related to: 10