# Detection of Outliers in Circular-Circular Regression

### Description

Mean circular error

### Usage

1 | ```
MCE(y,Y,n)
``` |

### Arguments

`y` |
observed values of the response variable are calculated based on model
having a VonMises distribution with circular mean 0 and concentration parameter k. |

`Y` |
the estimeted value of y under model |

`n` |
the sample size |

### Details

This function may be considered as a type of arithmetic mean which is not robust to the existence of outlier.thus it can be used to detect the possible outliers in the circular regression.

### Value

Number, that is mean circular error.

### Author(s)

Azade Ghazanfarihesari, Majid Sarmad

### References

A. H. Abuzaid, A. G. Hussin & I. B. Mohamed (2013) Detection of outliers in simple circular regression models using the mean circular error statistics.

### See Also

circular, CircStats

### Examples

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