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On Two Covariates Cosine and Sine Noisy-Wave Trigonometry Regression of Heartbeats

Olanrewaju Rasaki Olawale
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Olanrewaju Rasaki Olawale: Department of Statistics, Faculty of Science, University of Ibadan, Ibadan, Oyo State, Nigeria

Academic Journal of Applied Mathematical Sciences, 2019, vol. 5, issue 10, 140-149

Abstract: This paper proposes and describes the acumen on alternate two covariates linear Cosine and Sine regression functions that possessed a noisy-wave or tone frequencies via wave-trend of actualized observations of regressors and responsive variable needed in fitting a wavy equation of trigonometry regression. The method of maximum likelihood was used in estimating parameters associated to the Cosine and Sine alternate functions via vector coefficients as well as their distributional and residual properties. The estimations obtained via the method were enthralled to the noisy-wave mesokurtic observations of babies’ rate of heartbeats exactly an hour after birth (HR1), two hours after birth (HR2) and three hours after birth (HR3). The implementation and illustrative application was via R using the heartbeat dataset. It was gleaned that the trigonometry equation line .......

Keywords: Cosine; Equation line; Noisy-wave; Regression functions; Rates of heartbeat; Sine (search for similar items in EconPapers)
Date: 2019
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Handle: RePEc:arp:ajoams:2019:p:140-149