This paper gives a comprehensive discussion on complex regression model by extending the idea of regression model to circular variables. Various aspect have been considered such as the biasness of parameters, error assumptions and model checking. The advantage of this approach is that it allows the use of usual technique available in ordinary linear regression for the regression of circular variables. The quality of the estimates and the feasibility of the approach were illustrated via simulation. The model was then applied to the wave direction data
An extension to the model by Mardia and Sutton (1978) for describing a more general type of circular...
The problem of robust estimation in circular regression models has not been studied well. This paper...
This study presents a novel measurement-based method for modelling harmonic current injections of lo...
Data in the form of time cycle or point position to the angle of possibility is no longer suitable t...
This paper presents the hypothesis testing of parameters for ordinary linear circular regression mod...
This paper considers the relationship between a binary response and a circular predictor. It develop...
Classical linear statistics method is no longer appropriate when handling circular data since the da...
A new functional relationship model for circular variables which is an extended version of a circula...
The investigation on the identification of outliers in linear regression models can be extended to t...
We have proposed a new LCDE method in circular-circular regression, where estimates are obtained fro...
A regression model for correlated circular data is proposed by assuming that samples of angular mea...
Cylindrical data are multivariate data which consist of a directional, in this paper circular, and a...
This study looks at three problems related to the JS circular regression model with five objectives ...
Find the right algorithm for your image processing applicationExploring the recent achievements that...
The interpretation of the effect of predictors in projected normal regression models is not straight...
An extension to the model by Mardia and Sutton (1978) for describing a more general type of circular...
The problem of robust estimation in circular regression models has not been studied well. This paper...
This study presents a novel measurement-based method for modelling harmonic current injections of lo...
Data in the form of time cycle or point position to the angle of possibility is no longer suitable t...
This paper presents the hypothesis testing of parameters for ordinary linear circular regression mod...
This paper considers the relationship between a binary response and a circular predictor. It develop...
Classical linear statistics method is no longer appropriate when handling circular data since the da...
A new functional relationship model for circular variables which is an extended version of a circula...
The investigation on the identification of outliers in linear regression models can be extended to t...
We have proposed a new LCDE method in circular-circular regression, where estimates are obtained fro...
A regression model for correlated circular data is proposed by assuming that samples of angular mea...
Cylindrical data are multivariate data which consist of a directional, in this paper circular, and a...
This study looks at three problems related to the JS circular regression model with five objectives ...
Find the right algorithm for your image processing applicationExploring the recent achievements that...
The interpretation of the effect of predictors in projected normal regression models is not straight...
An extension to the model by Mardia and Sutton (1978) for describing a more general type of circular...
The problem of robust estimation in circular regression models has not been studied well. This paper...
This study presents a novel measurement-based method for modelling harmonic current injections of lo...