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A Simple General Approach to Inference About the Tail of a Distribution

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Hill, Bruce M.·1975·The Annals of Statistics

Abstract

A simple general approach to inference about the tail behavior of a distribution is proposed. It is not required to assume any global form for the distribution function, but merely the form of behavior in the tail where it is desired to draw inference. Results are particularly simple for distributions of the Zipf type, i.e., where $G(y) = 1 - Cy^{-\alpha}$ for large $y$. The methods of inference are based upon an evaluation of the conditional likelihood for the parameters describing the tail behavior, given the values of the extreme order statistics, and can be implemented from both Bayesian and frequentist viewpoints.

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Metadata

Authors
Hill, B. M.
Venue
The Annals of Statistics
Published
1975-09-01
Volume
3
Issue
5
ISSN
0090-5364 (ISSN-L)
OpenAlex
W2048649579
Cited by
3,086
References
0
FWCI
1.77
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A Simple General Approach to Inference About the Tail of a Distribution. https://app.cochat.ai/papers/10.1214/aos/1176343247
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Hill, B. M. (1975). A Simple General Approach to Inference About the Tail of a Distribution. The Annals of Statistics. https://doi.org/10.1214/aos/1176343247

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.