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The Sufficient And Necessary Conditions For The Domains Of Attraction And Conditional Moment Estimator For The Extreme Index

Posted on:2007-10-04Degree:MasterType:Thesis
Country:ChinaCandidate:C Y RenFull Text:PDF
GTID:2120360185959196Subject:Probability theory and mathematical statistics
Abstract/Summary:PDF Full Text Request
A Sufficient and Necessary Conditions about D(A) is given in the first part: (1). If F ∈ D (∧) , for any αm > 0, m > 1,then(2). If there exist some αm > 0,m > 1,s.t.thenSecondly, the necessary condition about D(Φα) is given: if F ∈ D(Φα),α > 2, then for 0 ≤ p < α - 2, set μp(t) = E((X - t)p|X > t), we haveIn the second part,we focus on the conditional moment estimator of the extreme value index γ which is based on the conditional momentwhere mnj = , j = 1,2. and the strong and weak consis-tency about the estimator is proved.
Keywords/Search Tags:Extreme value index, Extreme value distributions, Conditional moment, Strong and weak consistency, Domains of attraction, Karamata's theorem
PDF Full Text Request
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