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Detection of location shift outliers with ordinal categorical variables.

Ng Sau-chun. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 53-54). / Abstracts in English and Chinese. / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- The Local Influence Approach --- p.5 / Chapter 2.1 --- Review of the local influence approach / Chapter 2.2 --- Recent modification of the approach / Chapter Chapter 3 --- Detection of Outliers --- p.9 / Chapter 3.1 --- A measure to identify multivariate outliers / Chapter 3.2 --- Identification of outliers in the presence of ordinal categorical variables / Chapter 3.3 --- Examples / Chapter 3.3.1 --- Example --- p.1 / Chapter 3.3.2 --- Example --- p.2 / Chapter 3.3.3 --- Example --- p.3 / Chapter 3.4 --- Behavior of the measure under different patterns / Chapter 3.5 --- Outlying observations and their influence on the estimate of polychoric correlation / Chapter 3.5.1 --- Example / Chapter 3.5.2 --- The simulation studies / Chapter Chapter 4 --- Influential Cells in A Contingency Table --- p.28 / Chapter 4.1 --- The model and its estimation / Chapter 4.2 --- The perturbation of observed frequency / Chapter 4.3 --- Normal curvatures as an influence measures / Chapter 4.4 --- Some numerical results / Chapter 4.4.1 --- 2-Dimensional data examples / Chapter 4.4.2 --- Examples on m-Dimensional data / Chapter Chapter 5 --- Discussion --- p.51 / Bibliography / Appendix

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323250
Date January 2000
ContributorsNg, Sau-chun., Chinese University of Hong Kong Graduate School. Division of Statistics.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, 80 leaves : ill. (some col., some mounted) ; 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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