کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1148625 1489755 2016 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Nonparametric estimation of the conditional extreme-value index with random covariates and censoring
ترجمه فارسی عنوان
برآورد غیر پارامتری شاخص شدت عددی شرطی با متغیرهای تصادفی و سانسور کردن
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
چکیده انگلیسی


• We estimate extreme value index and extreme quantiles of a heavy-tailed distribution with covariates and censoring.
• We prove asymptotic normality of our estimator of the conditional extreme value index.
• We assess the finite-sample behavior of the proposed estimators via simulations.

Estimation of the extreme-value index of a heavy-tailed distribution is addressed when some random covariate information is available and the data are randomly right-censored. A weighted kernel version of Hill’s estimator of the extreme-value index is proposed and its asymptotic normality is established. Based on this, a Weissman-type estimator of conditional extreme quantiles is constructed. A simulation study is conducted to assess the finite-sample behavior of the proposed estimators.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 168, January 2016, Pages 20–37
نویسندگان
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