Detection of outliers in multiple circular regression model

Referring to the statement of problems above, the researcher has outlined the objectives of this study as follows; to examine the robustness of the multiple circular regression estimation towards the occurrence of outliers in the data; to propose two new statistics given by DFBETAc and DFFITc statis...

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Bibliographic Details
Main Author: Alkasadi, Najla Ahmed Salem
Corporate Author: Universiti Malaysia Perlis
Format: Thesis Book
Language:English
Published: Perlis, Malaysia Institute of Engineering Mathematics 2018
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Summary:Referring to the statement of problems above, the researcher has outlined the objectives of this study as follows; to examine the robustness of the multiple circular regression estimation towards the occurrence of outliers in the data; to propose two new statistics given by DFBETAc and DFFITc statistics to determine outliers observations in MCRM; to extend the use of three statistics which are COVRATIOc, DMCEc and DMCEs statistics to determine outliers observations in MCRM; to compare all the proposed statistics in (ii) and (iii), and illustrate all the proposed statistics on real life data.
Physical Description:xvi, 182 pages colour illustration 30 cm.
Bibliography:Includes bibliographical references.