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Parameter Estimation of Fractional Trigonometric Polynomial Regression Model

Taiwo Abass Ishola, Olatayo Timothy Olabisi, Adesanya Kazeem Kehinde
Journal of University of Babylon , Volume 27, pp 519-526; doi:10.29196/jubpas.v27i1.2208

Abstract: Trigonometric Polynomial Regression is a form of non-linear regression in which the relationship between the outcome variable and risk variable is Fractional modeled as 1/nth degree polynomial regression by combining the function of cos(nx) and sin(nx) on the value of natural numbers. The model was used to analyze the relationship between three continuous and periodic variables. Coefficients of the model were estimated using the Maximum Likelihood Estimate (MLE) method. From the results, the model obtained indicated that an increased in body mass index will increase the level of blood pressure while age may or may not have an influence on the blood pressure level. The values of the Coefficient of variation showed the variation in the dependent variable was well explained by the independent variables and the value of the adjusted coefficient of determination showed the model had a good fit with a high level of predictive power.
Keywords: Function / model / Blood Pressure / polynomial regression / coefficient / variable / Trigonometric Polynomial

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