The problem of estimating the tail index in heavy-tailed distributions is very important in many applications. We propose a new graphical method that deals with this problem by selecting an appropriate number of upper order statistics. We also investigate the method’s theoretical properties are investigated. Several real datasets are analyzed using this new procedure and a simulation study is carried out to exa...
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