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A stepping procedure based on a local influence measure to identify multiple multivariate outliers.

Tse Suk Yan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 114-115). / Abstracts in English and Chinese. / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- The Elements of the New Procedure --- p.6 / Chapter 2.1 --- The Stepping Algorithm --- p.6 / Chapter 2.2 --- Outlier Measure and Benchmark --- p.17 / Chapter Chapter 3 --- The New Procedure --- p.21 / Chapter 3.1 --- Procedure --- p.22 / Chapter 3.2 --- Examples --- p.31 / Chapter 3.3 --- Simulation Study --- p.41 / Chapter 3.3.1 --- Terms and Factors --- p.41 / Chapter 3.3.2 --- Procedure --- p.45 / Chapter 3.3.3 --- Results --- p.47 / Chapter Chapter 4 --- Robust Version of the New Procedure --- p.51 / Chapter 4.1 --- Procedure --- p.52 / Chapter 4.2 --- Examples --- p.58 / Chapter 4.3 --- Simulation Study --- p.62 / Chapter 4.3.1 --- Procedure --- p.63 / Chapter 4.3.2 --- Results --- p.65 / Chapter Chapter 5 --- The New Procedure with Random Initial Subset --- p.68 / Chapter 5.1 --- The Elements --- p.69 / Chapter 5.2 --- Procedure --- p.71 / Chapter 5.3 --- Examples --- p.77 / Chapter Chapter 6 --- Discussion --- p.91 / Chapter Chapter 7 --- Conclusion --- p.102 / Appendix --- p.105 / References --- p.114

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323146
Date January 2000
ContributorsTse, Suk Yan., Chinese University of Hong Kong Graduate School. Division of Statistics.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, 115 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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