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by Wai-kuen Wong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves 57). / Chapter Chapter 1 : --- Introduction --- p.1 / Chapter Chapter 2 : --- Estimation of Correlation between Censored and Polytomous Variables --- p.5 / Chapter 2.1 : --- Model --- p.5 / Chapter 2.2 : --- Maximum Likelihood Estimation between a Censored and a Polytomous Variable --- p.7 / Chapter 2.3 : --- Simulation Study --- p.14 / Chapter 2.4 : --- Extension to Several Variables --- p.18 / Chapter Chapter 3 : --- An application -- Correlation Structure Analysis --- p.33 / Chapter 3.1 : --- Model --- p.33 / Chapter 3.2 : --- Two-stage Estimation Procedure --- p.35 / Chapter 3.3 : --- Optimization Procedure --- p.37 / Chapter Chapter 4 : --- Conclusion --- p.40 / Tables --- p.42 / References --- p.57

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

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

by Terry Shing-fong Lew. / "July 1999." / Thesis (Ph.D.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (p. 52-54). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.

Thesis (Ph. D.)--University of Chicago, Dept. of Economics, June 1999. / Includes bibliographical references. Also available on the Internet.

Data regarding the severity of premenstrual symptoms were collected from three groups of women: women over age 24 years seeking care from a gynecological practitioner, undergraduates at OSU living in student dormitories, and graduate students enrolled at OSU. The symptoms evaluated were depression, tiredness, irritability, anxiety, headache, breast swelling and tenderness, craving for sweets, craving for salty foods, binge eating, and acne. Symptoms were rated on a scale of zero (not present) to three (severe). Multivariate profile analysis was used to evaluate the hypothesis that the profiles formed by the mean vectors of these premenstrual symptoms were parallel with regard to symptom severity, age, consumption of caffeinated beverages and refined sugar, maternal history of premenstrual syndrome (PMS) and recent use of oral contraceptives. Parallel profiles were further evaluated for coincidence. Results of the analysis indicated that in each of the three samples of women studied, the presence of premenstrual symptomatology was indicated by one pattern of symptom severity, and that this pattern remained constant as symptoms became more severe. The variability in the premenstrual symptoms could be explained by the inherent variability of the women studied, a finding which does not support the existence of multiple subtypes of PMS. Evidence of a positive association between age and increasing symptom severity was found only in the graduate student group. High levels of consumption of caffeine were shown to exacerbate premenstrual symptoms among the graduate students, and frequent consumption of refined sugar and "junk food" were shown to exacerbate symptoms among older women. Increased symptom severity of premenstrual symptoms in women whose mothers suffered from PMS was noted only among undergraduate students. No evidence was found to implicate oral contraceptive use in the exacerbation or amelioration of premenstrual symptoms. / Graduation date: 1992

Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: cutaneous mechanoreceptors, logistical regression. Includes bibliographical references (p. 156-159).