This thesis contains two parts. The first part derives the Bayesian estimator of the parameters in a piecewise exponential Cox proportional hazard regression model, with one unknown change point for a right censored survival data. The second part surveys the applications of change point problems to various types of data, such as long-term survival data, longitudinal data and time series data. Furthermore, the proposed method is then used to analyse a real survival data. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2014. / FAU Electronic Theses and Dissertations Collection

by Siu-fung Chan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1991. / Bibliography: leaves 38-41. / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Analysis of the Structural Equation Model with Continuous Data --- p.6 / Chapter §2.1 --- The Model --- p.6 / Chapter §2.2 --- Mehtods of Handling Incomplete Data --- p.8 / Chapter §2.3 --- Design of the Monte-Carlo Study --- p.12 / Chapter §2.4 --- Results of the Monte-Carlo Study --- p.15 / Chapter Chapter 3 --- Analysis of the Structural Equation Model with Polytomous Data --- p.24 / Chapter §3.1 --- The Model --- p.24 / Chapter §3.2 --- Methods of Handling Incomplete Data --- p.25 / Chapter §3.3 --- Design of the Monte-Carlo Study --- p.27 / Chapter §3.4 --- Results of the Monte-Carlo Study --- p.31 / Chapter Chapter 4 --- Summary and Discussion --- p.36 / References --- p.38 / Tables --- p.42 / Figures --- p.78

by Lo Tai-yan, Milton. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 112-114). / Chapter 1 --- Preliminaries --- p.1 / Chapter 1.1 --- Introduction --- p.1 / Chapter 1.1.1 --- The Noncentral Multivariate F distribution --- p.2 / Chapter 1.1.2 --- The Central Problems and the Approach --- p.4 / Chapter 1.2 --- Concepts and Terminology --- p.7 / Chapter 1.3 --- Choice of Estimates --- p.10 / Chapter 1.4 --- Related Work --- p.11 / Chapter 2 --- Estimation of the noncentrality parameter of a Noncentral Mul- tivariate F distribution --- p.19 / Chapter 2.1 --- Unbiased and Linear Estimators --- p.19 / Chapter 2.1.1 --- The unbiased estimate --- p.20 / Chapter 2.1.2 --- The Class of Linear Estimates --- p.24 / Chapter 2.2 --- Optimal Linear Estimate --- p.32 / Chapter 2.3 --- Nonlinear Estimate --- p.34 / Chapter 2.4 --- Monte Carlo Simulation Study --- p.41 / Chapter 2.5 --- Evaluation and Further Investigation --- p.42 / Chapter 3 --- Estimation of Canonical Correlation Coefficients --- p.73 / Chapter 3.1 --- Preliminary --- p.73 / Chapter 3.2 --- The Estimation Problem --- p.76 / Chapter 3.3 --- Orthogonally Invariant Estimates --- p.77 / Chapter 3.3.1 --- The Unbiased Estimate --- p.78 / Chapter 3.3.2 --- The Class of Linear Estimates --- p.78 / Chapter 3.3.3 --- The Class of Nonlinear Estimates --- p.80 / Chapter 3.4 --- Monte Carlo Simulation Study --- p.87 / Chapter 3.5 --- Evaluation and Further Investigation --- p.89 / Chapter A --- p.104 / Chapter A.1 --- Lemma 3.2 --- p.104 / Chapter A.2 --- Theorem 3.3 Leung(1992) --- p.105 / Chapter A.3 --- The Noncentral F Identity --- p.106 / Chapter B --- Bibliography --- p.111

Leung Kit Ying. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 86-88). / Abstracts in English and Chinese. / Declaration --- p.i / Acknowledgement --- p.ii / Chapter 1 --- INTRODUCTION --- p.1 / Chapter 2 --- IMPROVED ESTIMATION OF THE NORMAL PRECISION MATRIX USING THE L1 AND L2 LOSS FUNCTIONS --- p.7 / Chapter 2.1 --- Previous Work --- p.9 / Chapter 2.2 --- Important Lemmas --- p.13 / Chapter 2.3 --- Improved Estimation of Σ-1 under L1 Loss Function --- p.20 / Chapter 2.4 --- Improved Estimation of Σ-1 under L2 Loss Function --- p.26 / Chapter 2.5 --- Simulation Study --- p.31 / Chapter 2.6 --- Comparison with Krishnammorthy and Gupta's result --- p.38 / Chapter 3 --- IMPROVED ESTIMATION OF THE NORMAL PRECISION MATRIX USING THE L3 AND L4 LOSS FUNCTIONS --- p.43 / Chapter 3.1 --- Justification of the Loss Functions --- p.46 / Chapter 3.2 --- Important Lemmas for Calculating Risks --- p.48 / Chapter 3.3 --- Improved Estimation of Σ-1 under L3 Loss Function --- p.55 / Chapter 3.4 --- Improved Estimation of Σ-1 under L4 Loss Function --- p.62 / Chapter 3.5 --- Simulation Study --- p.69 / Appendix --- p.77 / Reference --- p.35

Lam Yuk Hing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 67-70). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Diagnostic Measure --- p.7 / Chapter 2.1 --- A diagnostic measure di based on Cook's likelihood distance --- p.7 / Chapter 2.2 --- The estimates 6 and θ (i) --- p.8 / Chapter 2.3 --- "The one-step estimator,θ1 (i)" --- p.9 / Chapter 3 --- Methods For Identifying Influential Observations --- p.11 / Chapter 3.1 --- One-step method --- p.11 / Chapter 3.2 --- Forward search procedure --- p.13 / Chapter 3.2.1 --- Idea of forward search procedure --- p.14 / Chapter 3.2.2 --- "The modified diagnostic measure, di" --- p.15 / Chapter 3.2.3 --- Initial basic subset --- p.18 / Chapter 3.2.4 --- The algorithm of starting with an ordered basic subset --- p.19 / Chapter 3.2.5 --- The algorithm of starting with a random basic subset --- p.21 / Chapter 4 --- Case Study --- p.23 / Chapter 4.1 --- Open/Close Book data set --- p.23 / Chapter 4.1.1 --- One-step method --- p.27 / Chapter 4.1.2 --- Forward search procedure --- p.28 / Chapter 4.1.3 --- Start with the ordered basic subset --- p.28 / Chapter 4.1.4 --- Start with a random basic subset --- p.32 / Chapter 4.2 --- Paper-Quality Measurements data set --- p.38 / Chapter 4.2.1 --- One-step method --- p.40 / Chapter 4.2.2 --- Forward search procedure --- p.41 / Chapter 4.2.3 --- Start with the ordered basic subset --- p.41 / Chapter 4.2.4 --- Start with a random basic subset --- p.45 / Chapter 5 --- Simulation --- p.52 / Chapter 5.1 --- Simulation procedure --- p.52 / Chapter 5.2 --- Results --- p.56 / Chapter 6 --- Discussion --- p.64 / Reference --- p.67

by Chan Wai Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 69-76). / Abstracts in English and Chinese. / LIST OF ILLUSTRATION --- p.iv / LIST OF TABLES --- p.v / Chapter CHAPTER I - --- INTRODUCTION --- p.1 / Chapter 1.0 --- Overview --- p.1 / Chapter 1.1 --- The Rationale --- p.1 / Chapter 1.2 --- The Purpose --- p.3 / Chapter 1.3 --- Significance of This Study --- p.3 / Chapter 1.4 --- Outline of This Paper --- p.4 / Chapter CHAPTER II - --- REVIEW OF LITERATURE AND MODEL DEVELOPMENT --- p.5 / Chapter 2.0 --- Overview --- p.5 / Chapter 2.1 --- What is Service Encounter --- p.5 / Chapter 2.2 --- The Role of Temporal Dimensions of Service Encounters --- p.8 / Chapter 2.2.1 --- Duration and Frequency --- p.8 / Chapter 2.3 --- The Conceptual Model --- p.11 / Chapter 2.3.1 --- "The Causal Relations among Duration, Frequency and Authentic Understanding" --- p.17 / Chapter 2.3.2 --- "The Causal Relations among Duration, Frequency and Perceived Familiarity" --- p.20 / Chapter 2.3.3 --- "The Causal Relations among Duration, Frequency and Efficiency" --- p.21 / Chapter 2.3.4 --- "The Causal Relations among Authentic Understanding, Familiarity, Efficiency and Service Evaluation" --- p.24 / Chapter 2.3.5 --- Summary --- p.27 / Chapter CHAPTER III - --- METHODOLOGY --- p.28 / Chapter 3.0 --- Overview --- p.28 / Chapter 3.1 --- Research Design --- p.28 / Chapter 3.2 --- Manipulations --- p.29 / Chapter 3.3 --- The Sample and the Sampling Procedure --- p.29 / Chapter 3.3.1 --- The Sample --- p.29 / Chapter 3.3.2 --- Sampling Procedure --- p.29 / Chapter 3.4 --- Data Collection Procedures --- p.30 / Chapter 3.5 --- Operationalization of Constructs --- p.31 / Chapter 3.5.1 --- Service Evaluation (EVA) --- p.31 / Chapter 3.5.2 --- Authentic Understanding (UN) --- p.32 / Chapter 3.5.3 --- Perceived Familiarity (FAM) --- p.32 / Chapter 3.5.4 --- Efficiency (EFF) --- p.32 / Chapter 3.6 --- Data Analysis --- p.33 / Chapter 3.6.1 --- Manipulation Checks --- p.33 / Chapter 3.6.2 --- MANOVA analysis --- p.34 / Chapter 3.6.3 --- MANOVA by Structural Equation Modeling --- p.34 / Chapter 3.7 --- Research Activities --- p.36 / Chapter 3.7.1 --- Pretest 1 --- p.36 / Chapter 3.7.2 --- Pretest 2 --- p.38 / Chapter 3.7.3 --- The Main Study --- p.39 / Chapter 3.8 --- Summary --- p.39 / Chapter CHAPTER IV - --- RESULTS AND DISCUSSION --- p.40 / Chapter 4.0 --- Overview --- p.40 / Chapter 4.1 --- Manipulation Check --- p.40 / Chapter 4.2 --- MANOVA analysis --- p.40 / Chapter 4.3 --- MANOVA by Structural Equation Modeling --- p.45 / Chapter 4.3.1 --- Results --- p.47 / Chapter 4.3.2 --- Model Evaluation --- p.51 / Chapter 4.4 --- Discussion --- p.55 / Chapter 4.5 --- Summary --- p.58 / Chapter CHAPTER V - --- CONCLUSION --- p.59 / Chapter 5.0 --- Overview --- p.59 / Chapter 5.1 --- Summary of the Research --- p.59 / Chapter 5.2 --- Contributions of the Study --- p.61 / Chapter 5.2.1 --- The Theoretical Contributions --- p.61 / Chapter 5.2.2 --- The Managerial Implications --- p.62 / Chapter 5.3 --- The Limitations --- p.65 / Chapter 5.4 --- Future Research --- p.67 / Chapter 5.5 --- Summary --- p.68 / THE REFERENCE --- p.69 / Appendices --- p.77

by Yuen Wai-ying. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaves 50-51). / Abstract also in Chinese. / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Estimation of Factor Scores in a Three-level Factor Analysis Model / Chapter 2.1 --- The Three-level Factor Analysis Model --- p.5 / Chapter 2.2 --- Estimation of Factor Scores in Between-group --- p.7 / Chapter 2.2.1 --- REG Method --- p.9 / Chapter 2.2.2 --- GLS Method --- p.11 / Chapter 2.3 --- Estimation of Factor Scores in Second Level Within-group --- p.13 / Chapter 2.3.1 --- REG Method --- p.15 / Chapter 2.3.2 --- GLS Method --- p.17 / Chapter 2.4 --- Estimation of Factor Scores in First Level Within-group / Chapter 2.4.1 --- First Approach --- p.19 / Chapter 2.4.2 --- Second Approach --- p.24 / Chapter 2.4.3 --- Comparison of the Two Approaches in Estimating Factor Scores in First Level Within-group --- p.31 / Chapter 2.5 --- Summary on the REG and GLS Methods --- p.35 / Chapter Chapter 3 --- Simulation Studies / Example1 --- p.37 / Example2 --- p.42 / Chapter Chapter 4 --- Conclusion and Discussion --- p.48 / References --- p.50 / Figures --- p.52

Visualization systems traditionally focus on graphical representation of information. They tend not to provide integrated analytical services that could aid users in tackling complex knowledge discovery tasks. Users¡¯ exploration in such environments is usually impeded due to several problems: 1) Valuable information is hard to discover, when too much data is visualized on the screen. 2) They have to manage and organize their discoveries off line, because no systematic discovery management mechanism exists. 3) Their discoveries based on visual exploration alone may lack accuracy. 4) They have no convenient access to the important knowledge learned by other users. To tackle these problems, it has been recognized that analytical tools must be introduced into visualization systems. In this paper, we present a novel analysis-guided exploration system, called the Nugget Management System (NMS). It leverages the collaborative effort of human comprehensibility and machine computations to facilitate users¡¯ visual exploration process. Specifically, NMS first extracts the valuable information (nuggets) hidden in datasets based on the interests of users. Given that similar nuggets may be re-discovered by different users, NMS consolidates the nugget candidate set by clustering based on their semantic similarity. To solve the problem of inaccurate discoveries, data mining techniques are applied to refine the nuggets to best represent the patterns existing in datasets. Lastly, the resulting well-organized nugget pool is used to guide users¡¯ exploration. To evaluate the effectiveness of NMS, we integrated NMS into XmdvTool, a freeware multivariate visualization system. User studies were performed to compare the users¡¯ efficiency and accuracy of finishing tasks on real datasets, with and without the help of NMS. Our user studies confirmed the effectiveness of NMS. Keywords: Visual Analytics, Visual Knowledge

Este trabalho objetivou pesquisar a relação da temperatura de superfície (LST) e do estoque de carbono no solo (ECS) com os diferentes tipos de uso e cobertura do solo (UCT). Sabe-se que tais parâmetros podem ser influenciados pelas atividades antrópicas, podendo afetar a integridade do agroecossistema (IAG) da bacia do Rio Corumbataí (BRC). Entende-se por IAG, a capacidade de manutenção de suas propriedades \"primitivas\" e prestação de serviços ecossistêmicos à sociedade. Para alcançar o objetivo proposto, a dinâmica de UCT foi mapeada, a partir da classificação de imagens do satélite Landsat e fotografias aéreas, dos anos de 1962 a 2011. A LST foi obtida por técnicas de sensoriamento remoto, utilizando a banda termal do sensor TM (Thematic Mapper) do Landsat, para os anos de 1985, 1990, 1995, 1999, 2002 e 2011. A análise do ECS foi feita a partir da coleta de amostras de solo, em diferentes UCT: mata nativa, cana-de-açúcar, pastagem e fruticultura, na profundidade de 0-10 e 10-20 cm. Os resultados indicaram que a LST e os ECS da área de estudo são influenciados pelo UCT e pelo manejo das culturas. Verificou-se ainda que algumas políticas agrícolas, adotadas no período de 1962 a 2011, influenciaram a dinâmica de UCT e, consequentemente, a capacidade do agroecossistema da BRC no fornecimento de serviços ecossistêmicos e também geraram custos ambientais. A abordagem interdisciplinar adotada neste trabalho, com o emprego das geotecnologias, mostrou ser capaz de avaliar a integridade do agroecossistema da BRC, podendo subsidiar o planejamento de uso do solo visando a maximizar a relação benefício/custo das atividades antrópicas, considerando a LST e o ECS. Tal abordagem pode ser aplicada em diferentes áreas do conhecimento para a análise da sustentabilidade e integridade ambiental dos agroecossistemas. / In this work, the aim was search the relationship between both surface temperature (LST) and soil organic carbon (SOC) with several sort of land use cover (LUC). We know such a parameters can be influenced by anthropic activities, it can affects the Corumbataí River basin (CRB) agro ecosystem integrity (AGI). AGI means, the capacity of both maintenance of its \"primitive\" properties and supplies public ecosystem service. Reaching the proposed goal, the LUC dynamic was mapping through both Landsat-TM image classification and aerial photography from 1962 to 2011. The LST has been obtained by remote sensing technique through Lansat-TM thermal band to the years 1985, 1990, 1995, 1999, 2002 and 2011. The ECS analyze was carried out by soil sample collected in different type of LUC: forest native, sugar cane, pasture and orchard, in the 0-10 and 10-20 cm depths. The results have indicated both the BRC of the LST and SOC are influenced by both together LUC and crop tillage. Furthermore, some agricultural policy adopted during from 1962 to 2011 influenced the LUC dynamic, thus the CRB agro ecosystem capacity of supply agro ecosystem services as well as provided environmental cost. The interdisciplinary approach employed, with the use of geotechnologies, has shown to be able to assessment the CRB agro ecosystem integrity, it can supports the LUC planning in order to maximize the benefit/cost ratio anthropic activities, considering both the LST and ECS. Such an approach can be applied in several knowledge areas to evaluation of sustainability and agro ecosystem environmental integrity.

The stream of new technological advancements and their integration into the field of microbiology have contributed significantly towards our understanding of life in the micro-scale world, making the fields of microbiology and biotechnology shine like never before. Since 1980, the recombinant protein-based therapeutics industry has become one of the fastest growing sectors in the biopharmaceutical market. Nearly 30% of commercially available recombinant proteins are produced in Escherichia coli, making this species one of the most commonly used bacterial expression systems for the production of recombinant biotherapeutics. However, when it comes to the production of enzymes and bioactive secondary metabolites (antibiotic, antifungal, antiviral and immunosuppressant), Streptomyces species remain the major producer within this sector. Meeting the high demand for such products requires a clear and in-depth understanding of the bioprocesses involved to achieve high yield and quality products, whilst keeping the process industrially attractive. It is generally accepted that the metabolome, as a down-stream process to the genome and proteome, may provide a clearer picture of a biological system. Thus, in this thesis a series of metabolomics approaches were adopted to obtain a deeper insight into the metabolic effects of recombinant protein production in E. coli and Streptomyces lividans. Furthermore, a Geobacter-based biomagnetite nanoparticle production system which displayed a prolonged lag phase upon scale-up was investigated by employing metabolic profiling and fingerprinting approaches combined with multivariate analysis strategies, to identify growth-limiting metabolites. The results of this analysis identified nicotinamide as the growth limiting metabolite. Nicotinamide-feeding experiments confirmed the above findings, leading to improved biomass yield whilst restoring the lag phase to bench-scale level. Raman and Fourier transform infrared spectroscopies combined with stable isotopic probing strategies were also employed to demonstrate the application of metabolic fingerprinting in providing detailed biochemical information for quantitative characterisation and differentiation of E. coli cells at community and single-cell levels. The single-cell approach proved promising, offering detailed biochemical information and perhaps accompanying other cultivation-free approaches such as metagenomics for further future investigations. It is hoped that the advances made in these studies have proved the potential applications of metabolomics strategies to aid the optimisation of microbially-driven bioprocesses.