Goodness-of-fit tests for continuous-time financial market models

Master's

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Bibliographic Details
Main Author: YANG LONGHUI
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/13887
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-138872015-01-12T00:39:12Z Goodness-of-fit tests for continuous-time financial market models YANG LONGHUI STATISTICS & APPLIED PROBABILITY CHEN SONG XI diffusion model, empirical likelihood, kernel estimation, marginal density, bootstrap. Master's MASTER OF SCIENCE 2010-04-08T10:37:44Z 2010-04-08T10:37:44Z 2004-03-19 Thesis YANG LONGHUI (2004-03-19). Goodness-of-fit tests for continuous-time financial market models. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/13887 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic diffusion model, empirical likelihood, kernel estimation, marginal density, bootstrap.
spellingShingle diffusion model, empirical likelihood, kernel estimation, marginal density, bootstrap.
YANG LONGHUI
Goodness-of-fit tests for continuous-time financial market models
description Master's
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
YANG LONGHUI
format Theses and Dissertations
author YANG LONGHUI
author_sort YANG LONGHUI
title Goodness-of-fit tests for continuous-time financial market models
title_short Goodness-of-fit tests for continuous-time financial market models
title_full Goodness-of-fit tests for continuous-time financial market models
title_fullStr Goodness-of-fit tests for continuous-time financial market models
title_full_unstemmed Goodness-of-fit tests for continuous-time financial market models
title_sort goodness-of-fit tests for continuous-time financial market models
publishDate 2010
url http://scholarbank.nus.edu.sg/handle/10635/13887
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