A linear functional relationship model for circular data with an application to the assessment of ocean wave measurements

2003 ◽  
Vol 8 (2) ◽  
pp. 153-169 ◽  
Author(s):  
S. Caires ◽  
L. R. Wyatt
2020 ◽  
pp. 1-8
Author(s):  
Nurkhairany Amyra Mokhtar ◽  
Yong Zulina Zubairi ◽  
Abdul Ghapor Hussin ◽  
Nor Hafizah Moslim

Functional relationship model is used to study the data that are subjected to errors. In this paper, we consider the linear functional relationship model with bivariate circular data where the pair of errors is with unequal concentration parameters. The parameter estimation of the model for circular data is different from linear data due to its wrapped around nature. We propose some improvements on the parameter estimation where some iterative procedures are considered. The concentration parameters are estimated based on the Bessel function. Also, we derive the corresponding covariance matrix of the model based on the Fisher Information matrix. Monte Carlo simulation studies were performed to study the suitability of the estimation method. It is found that the biasness of the estimates is small. Practical application of the method is illustrated by using real data set. Keywords: circular data; covariance matrix; Von Mises distribution; simulation study


2017 ◽  
Vol 46 (02) ◽  
pp. 317-326 ◽  
Author(s):  
ADILAH ABDUL GHAPOR ◽  
YONG ZULINA ZUBAIRI ◽  
RAHMATULLAH IMON A.H.M.

2006 ◽  
Vol 7 (1) ◽  
pp. 20-26
Author(s):  
Chang Yun Fah ◽  
Abdul Ghapor Hussin ◽  
Omar Mohd Rijal

2019 ◽  
Vol 48 (1) ◽  
pp. 237-242
Author(s):  
Azuraini Mohd Arif ◽  
◽  
Yong Zulina Zubairi ◽  
Abdul Ghapor Hussin

2019 ◽  
Vol 38 ◽  
pp. 46-54
Author(s):  
Nurkhairany Amyra Mokhtar ◽  
Yong Zulina Zubairi ◽  
Abdul Ghapor Hussin ◽  
Nor Hafizah Moslim

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