Thesis (Ph. D.)--University of Hong Kong, 1998. / Vol. 1 in two parts. Includes bibliographical references.

Thesis (M. Phil.)--University of Hong Kong, 1999. / Includes bibliographical references (leaves 71-75).

When I began the study, I was a full-time nurse educator. I taught student nurses at a hospital-based nursing school under the Hospital Authority. I also had a part-time job with the Open University of Hong Kong (OUHK) from 1998 to 2008, teaching subjects in the Bachelor of Nursing (NU305) program, Higher Nursing diploma courses (NU112C), and Master’s in Education (E804/E814) program. Currently, I am a nursing officer in an intensive care unit (ICU), responsible for training and quality assurance. As a former nurse educator in a hospital-based nursing school, a trainer, and a part-time tutor at OUHK, I was interested in learning more about the trends and changes related to the teaching and learning of adult learners. I observed that in many state policies and academic discussions, “lifelong learning” has replaced the term “adult education.” Indeed, interest in the idea of lifelong learning has recently grown (Smith 2002). Nonetheless, I did not clearly understand the idea of lifelong learning. and how it is different from adult education. There is also no universal definition of lifelong learning; rather, it is interpreted by various stakeholders in different ways (Kumar 2004). This aroused my interest in exploring the nature of lifelong learning, its implications to me as a tutor and a trainer, and the process by which empirical and qualitative data on lifelong learning can be collected.

Thesis (M. Arch.)--University of Hong Kong, 1997. / Includes special report study entitled: Common spaces for college students. Includes bibliographical references.

Thesis (M. Phil.)--University of Hong Kong, 1976.

Thesis (M. Ed.)--University of Hong Kong, 1982.

Thesis (M.S.W.)--University of Hong Kong, 1985.

published_or_final_version / Surgery / Master / Master of Philosophy

(Uncorrected OCR) Abstract of the thesis entitled ON INSURANCE RISK MODELS WITH CORRELATED CLASSES OF BUSINESS submitted by Wu Xueyuan for the degree of Doctor of Philosophy at The University of Hong Kong in February 2004 In this thesis, we focus on ruin analysis of risk models wIth correlated classes of insurance business. Specifically, five risk models with different dependence relations between classes are introduced. For these models, various problems related to ruin probability are considered. vVe first study a continuous-time correlated aggregate clmms model with Poisson and Erlang risk processes. In this model, we assume that two classes of business are correlated through a common Erlang component in thelf claim-number processes. We derive an explicit expression for the mfimte-time survival probability of the assumed model when claim SIzes are exponentially distributed. For general claim-size distributions, we obtain some result for the infinite-time ruin probabIlIty, and present a numerical method for evaluating the probability of rum. Based on the continuous-tIme model of Yuen and "Vang (2002) with thin- ning correlatIOn, we propose a new dependence relatIOn with interaction between classes of business in the discrete-time case. Two dIscrete-time risk models with such a relation of dependence are studied. For the first interaction model: we investIgate the statIstical properties of the aggregate claIms for a family of claimnumber distributions. \Ve also compare the model with other existing models with correlated aggregate claIms in terms of the finite-time and infimte-time ruin probabllitles. The second model extends the interaction dependence to the case of the compound binomlal model with delayed claims. For this model, we develop a recursive method to compute the finite-time survival probabilities: and derive an explicit expression for the infinite-time survival probability in a special case. The last two risk models proposed in this thesis are the bivariate compound binomial model and the bivariate compound Poisson model. In the bivariate case: vanous definitions of ruin can be considered. For the bivariate compound binomial model, recursive algorithms for calculating several kinds of finite-time survival probability are presented and numerical examples are given. As for the bivariate compound Poisson model, we study the probabllity that at least one of the two classes of business will get ruined. Since this bivanate ruin probability is very dlfficult to deal with, we use the result of the bivariate compound binomial model to approximate the desired bivanate finite-time survlval probability. \Ve also obtain an upper bound for the infinite-time ruin probability via some association properties of the model. For a simplified version of the model, we examine 'l'l the mfimte-time ruin probability when claIm sizes are exponentially distributed. / abstract / toc / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy

Thesis (M Distance Ed) -- University of South Australia