Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice

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Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice

Natalia Markovich

Wiley-Interscience , 2007, 336 pages

205737.rar (3.65 MB, 需要: 20 个论坛币) 本附件包括：

• Nonparametric Analysis of Univariate Heavy-Tailed Data.pdf

2008-4-15 12:23:00 上传

Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice
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The book focuses on the methods of statistical analysis of heavy-tailed independent identically distributed random variables by empirical samples of moderate sizes. It provides a detailed survey of classical results and recent developments in the theory of nonparametric estimation of the probability density function, the tail index, the hazard rate and the renewal function.

Both asymptotical results, for example convergence rates of the estimates, and results for the samples of moderate sizes supported by Monte-Carlo investigation, are considered. The text is illustrated by the application of the considered methodologies to real data of web traffic measurements

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关键词：Univariate Parametric Research Practice Analysis Analysis Data Research Practice Univariate

想买，但确确实是太贵了。

确实是太贵了。

Thanks so much