%0 Journal Article
%T Asymptotic Properties of Parameters for Linear Circular Functional Relationship Model
%A A.G. Hussin
%J Asian Journal of Mathematics & Statistics
%D 2008
%I Asian Network for Scientific Information
%X This study discusses the asymptotic properties of parameters for unreplicated linear circular functional relationship model. The model is formulated assuming both variables are circular, subject to errors and there is a linear relationship between them. The Maximum Likelihood Estimation (MLE) have been used to estimate the slope parameters ( 2), intercept ( ¡À) and error concentration parameters for both variables which are  o and v, respectively. The Fisher information matrix have been derived and based on this we estimated the asymptotic covariance matrix of
%K Asymptotic properties
%K linear circular functional relationship model
%K error of concentration parameters
%K Fisher information matrix
%K maximum likelihood estimation
%U http://docsdrive.com/pdfs/ansinet/ajms/2008/118-125.pdf