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The saddle-point method and its application to the hill estimator

Thesis (MCom)--Stellenbosch University, 2016.

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Bibliographic Details
Main Author: Buitendag, Sven
Other Authors: De Wet, Tertius
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2016
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access_status_str Open Access
author Buitendag, Sven
author2 De Wet, Tertius
author_browse Buitendag, Sven
De Wet, Tertius
author_facet De Wet, Tertius
Buitendag, Sven
author_sort Buitendag, Sven
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MCom)--Stellenbosch University, 2016.
format Thesis
id oai:scholar.sun.ac.za:10019.1/100057
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:42:37.450Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher Stellenbosch : Stellenbosch University
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source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/100057 The saddle-point method and its application to the hill estimator Buitendag, Sven De Wet, Tertius Stellenbosch University. Faculty of Economic and Management Sciences. Dept. of Statistics & Actuarial Science. Saddle point method (Numerical analysis) Hill estimator Method of steepest descent (Numerical analysis) Edgeworth expansions Extreme value theory UCTD Thesis (MCom)--Stellenbosch University, 2016. ENGLISH SUMMARY : The saddle-point approximation is a highly accurate approximation of the distribution of a random variable. It was originally derived as an approximation in situations where a parameter takes on large values. However, due to its high accuracy and good behaviour in a variety of applications not involving such a parameter, it has been generalized and applied to the distribution of any random variable with a well-behaved cumulant generating function. In this thesis the theory underlying the saddle-point approximation will be discussed and illustrated with an application to approximate the distribution of the Hill estimator in extreme value theory. AFRIKAANSE OPSOMMING : Die saalpunt-benadering is 'n hoogs noukeurige benadering van die verdeling van 'n stochastiese veranderlike. Dit is oorspronklik afgelei as 'n benadering in gevalle waar 'n parameter groot waardes aanneem. Nietemin, na aanleiding van sy hoogs akkurate aard en goeie gedrag in 'n verskeidenheid van toepassings wat nie betrekking het op so 'n parameter nie, is dit veralgemeen en toegepas op die verdeling van enige stochastiese veranderlike met 'n kumulantvoortbringende funksie wat goeie gedrag toon. In hierdie tesis sal die teorie onderliggend aan die saalpunt-benadering bespreek en gellustreer word met 'n toepassing om die verdeling van die Hill-beramer te benader. Masters 2016-12-22T13:10:20Z 2016-12-22T13:10:20Z 2016-12 Thesis http://hdl.handle.net/10019.1/100057 en_ZA Stellenbosch University 109 pages ; illustrations, includes annexures application/pdf Stellenbosch : Stellenbosch University
spellingShingle Saddle point method (Numerical analysis)
Hill estimator
Method of steepest descent (Numerical analysis)
Edgeworth expansions
Extreme value theory
UCTD
Buitendag, Sven
The saddle-point method and its application to the hill estimator
title The saddle-point method and its application to the hill estimator
title_full The saddle-point method and its application to the hill estimator
title_fullStr The saddle-point method and its application to the hill estimator
title_full_unstemmed The saddle-point method and its application to the hill estimator
title_short The saddle-point method and its application to the hill estimator
title_sort saddle point method and its application to the hill estimator
topic Saddle point method (Numerical analysis)
Hill estimator
Method of steepest descent (Numerical analysis)
Edgeworth expansions
Extreme value theory
UCTD
url http://hdl.handle.net/10019.1/100057
work_keys_str_mv AT buitendagsven thesaddlepointmethodanditsapplicationtothehillestimator
AT buitendagsven saddlepointmethodanditsapplicationtothehillestimator