An efficient method of identification of influential observaions in multiple linear regression and its application to real data
Influential observations (IOs) are those observations which either alone or together with several other observations have detrimental effect on the computed values of various estimates. As such, it is very important to detect their presence. Several methods have been proposed to identify IOs that in...
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| Format: | Article |
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Universiti Kebangsaan Malaysia
2024
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