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Perspective on cross-border residence of Hong Kong citizens in the Chinese Mainland

Housing, Theory and Society 2007年第4期24卷 293-304页

作者： Hui, Eddie Chi Man Wong, Francis Kwan Wah Yu, Ka Hung Department of Building and Real Estate The Hong Kong Polytechnic University Hunghom Kowloon Hong Kong

This paper explores the phenomenon of Hong Kong citizens residing in mainland China. This situation is interesting as it involves two distinct institutional structures, rather than the one involved in conventional residential mobility. In addition, this is a different scenario, in which people move from a developed area to a comparatively developing area. This paper aims to determine how different attributes weigh in potential decisions about cross-border residence and the characteristics of these residents, from the ex ante perspective. A logistic regression model is used to gauge the effect of various factors on the stated preferences of cross-border residence. The findings suggest that the older generation has a higher preference for future cross-border residence than other demographic groups. This is in sharp contrast with conventional theories on residential mobility. This finding has implications with regard to government policies in areas such as social security, healthcare and housing provision. In addition, institutional factors play a critical role in restraining the intentions of several population groups. For instance, local public rental housing limits the desire for cross-border residence among its tenants, while the distinctive institutional arrangements between Hong Kong and mainland China, due to the "One country, two systems" policy, keep the younger, more educated class from potentially relocating to Mainland China.

关键词： Cross-border residence Hong Kong logistic regression model Mainland China

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Land use change and its driving forces in alluvial-plain oasis

Land use change and its driving forces in alluvial-plain oas...

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Symposium on Remote Sensing and GIS Data Processing and Applications;and Innovative Multispectral Technology and Applications

作者： Xiao, Luxiang Zhang, Zengxiang Chen, Xi Luo, Geping Wen, Qingke Chinese Acad Sci Inst Remote Sensing Applicat Datun Rd Beijing 100101 Peoples R China Chinese Acad Sci Xinjiang Inst Ecol & Geog Ulmqi 830011 Peoples R China Chinese Acad Sci Grad Univ Beijing 100049 Peoples R China

ISBN: (纸本)9780819469540

Land use change and its driving factors are hot topics of global change research, and also important topics of sustainable development. This paper selected a small area in alluvial plain oasis in Xinjiang Autonomous region of China as the study area. Using Landsat TM data of 1987, 1998 and 2004, the dynamic process of the spatial-temporal characteristics of land use changes were analyzed to improve understanding and to find the driving forces of land use changes so that sustainable land utilization could be practiced. During the 17 years salt-alkali tolerant cropland, cereal cropland, vegetable-fruit land, and shrubbery, had decreased remarkably by 78.59%, 85.95%, 92.13%, 68.43%, respectively. Cotton-liquorice land, grape-hop land, planted forest, residential area in town, residential area in village, and saline-alkaline field had increased dramatically. The increased percentage received the value of 2432.11%, 10103.18%, 889.91%, 222.45%, 96.00%, 44.18%, respectively. By the logistic regression, the main driving factors were derived for each land use type. The advance of technology (fertilizer input, irrigation quota, and animal labor et al.) and market (unit are yield net) were the main driving factors. Policy, in a higher level, influenced the land use dynamics for all the land use changes.

关键词： oasis land use change driving forces logistic regression model

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Face verification by sharing knowledge from different subjects

Face verification by sharing knowledge from different subjec...

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2nd International Conference on Computer Graphics Theory and Applications/2nd International Conference on Computer Vision Theory and Applications

作者： Masip, David Lapedriza, Agata Vitria, Jordi Univ Barcelona Dept Appl Math & Anal MAiA Edif Histor Gran Via Corts Catalanes 585 Barcelona Spain Univ Autonoma Barcelona Comp Vis Ctr Dept Comp Sci E-08193 Barcelona Spain

ISBN: (纸本)9789728865740

in face verification problems the number of training samples from each class is usually reduced, making difficult the estimation of the classifier parameters. In this paper we propose a new method for face verification where we simultaneously train different face verification tasks, sharing the model parameter space. We use a multi-task extended logistic regression classifier to perform the classification. Our approach allows to share information from different classification tasks (transfer knowledge), mitigating the effects of the reduced sample size problem. Our experiments performed using the publicly available AR Face Database, show lower error rates when multiple tasks are jointly trained sharing information, which confirms the theoretical approximations in the related literature.

关键词： face verification computer vision logistic regression model multi-task learning

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Methodological issues in detecting gene-gene interactions in breast cancer susceptibility: a population-based study in Ontario

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BMC MEDICINE 2007年第1期5卷 22-22页

作者： Briollais, Laurent Wang, Yuanyuan Rajendram, Isaac Onay, Venus Shi, Ellen Knight, Julia Ozcelik, Hilmi Mt Sinai Hosp Prosserman Ctr Hlth Res Samuel Lunenfeld Res Inst Toronto ON M5T 3L9 Canada Univ Toronto Dept Publ Hlth Sci Toronto ON M5T 3M7 Canada Mt Sinai Hosp Fred A Litwin Ctr Canc Genet Samuel Lunenfeld Res Inst Toronto ON M5T 3L9 Canada Mt Sinai Hosp Dept Pathol Toronto ON M5G 1X5 Canada Mt Sinai Hosp Lab Med Toronto ON M5G 1X5 Canada Canc Care Ontario Ontario Canc Genet Network Toronto ON M5G 2L9 Canada

Background: There is growing evidence that gene-gene interactions are ubiquitous in determining the susceptibility to common human diseases. The investigation of such gene-gene interactions presents new statistical challenges for studies with relatively small sample sizes as the number of potential interactions in the genome can be large. Breast cancer provides a useful paradigm to study genetically complex diseases because commonly occurring single nucleotide polymorphisms ( SNPs) may additively or synergistically disturb the system-wide communication of the cellular processes leading to cancer development. Methods: In this study, we systematically studied SNP-SNP interactions among 19 SNPs from 18 key genes involved in major cancer pathways in a sample of 398 breast cancer cases and 372 controls from Ontario. We discuss the methodological issues associated with the detection of SNP-SNP interactions in this dataset by applying and comparing three commonly used methods: the logistic regression model, classification and regression trees ( CART), and the multifactor dimensionality reduction (MDR) method. Results: Our analyses show evidence for several simple (two-way) and complex (multi-way) SNP-SNP interactions associated with breast cancer. For example, all three methods identified XPD-[Lys751Gln]* IL10-[G(-1082) A] as the most significant two-way interaction. CART and MDR identified the same critical SNPs participating in complex interactions. Our results suggest that the use of multiple statistical approaches ( or an integrated approach) rather than a single methodology could be the best strategy to elucidate complex gene interactions that have generally very different patterns. Conclusion: The strategy used here has the potential to identify complex biological relationships among breast cancer genes and processes. This will lead to the discovery of novel biological information, which will improve breast cancer risk management.

关键词： Breast Cancer logistic regression model Breast Cancer Risk Additional Data File Terminal Node

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Testing in logistic regression models based on φ-divergences measures

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JOURNAL OF STATISTICAL PLANNING AND INFERENCE 2006年第3期136卷 982-1006页

作者： Pardo, JA Pardo, L Pardo, MD Univ Complutense Madrid Dept Stat & OR E-28040 Madrid Spain

In this paper, we consider inference based on very general divergence measures under assumptions of a logistic regression model. We use the minimum phi-divergence estimator in a phi-divergence statistic, which is the basis of some new statistics, for solving the classical problems of testing in a logistic regression model. A diagnostic analysis is developed based on the new estimators and test statistics. (c) 2004 Elsevier B.V. All rights reserved.

关键词： logistic regression model phi-divergence measure goodness-of-fit tests model diagnostics

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Minimum Φ-divergence estimator in logistic regression models

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Statistical Papers 2006年第1期47卷 91-108页

作者： Pardo, Julio Angel Pardo, Leandro Pardo, María Del Carmen Department of Statistics and O.R. Complutense University of Madrid Madrid Spain

A general class of minimum distance estimators for logistic regression models based on the φ-divergence measures is introduced: The minimum φ-divergence estimator, which is seen to be a generalization of the maximum likelihood estimator. Its asymptotic properties are studied as well as its behaviour in small samples throught a simulation study. © Springer-Verlag 2006.

关键词： logistic regression model Minimum φ-divergence estimator Monte Carlo simulation Newton-Raphson method

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A model-based approach to estimating forest area

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REMOTE SENSING OF ENVIRONMENT 2006年第1期103卷 56-66页

作者： McRoberts, Ronald E. [a]St. Paul MN USA

A logistic regression model based on forest inventory plot data and transformations of Landsat Thematic Mapper satellite imagery was used to predict the probability of forest for 15 study areas in Indiana, USA, and 15 in Minnesota, USA. Within each study area, model-based estimates of forest area were obtained for circular areas with radii of 5 km, 10 km, and 15 km and were compared to design-based estimates based on inventory plot data. Precision estimates for the circular areas were also obtained using variance formulae developed for this application that incorporated spatial correlation among model predictions for individual pixels. The model-based estimates were generally comparable to the design-based estimates. The advantages of the model-based approach are that maps and small areas estimates may be obtained and the necessity of releasing exact plot locations for user-specific applications is alleviated. (c) 2006 Elsevier Inc. All rights reserved.

关键词： logistic regression model landsat thematic mapper Indiana USA Minnesota USA

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modeling consumer acceptance probabilities

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EXPERT SYSTEMS WITH APPLICATIONS 2006年第3期30卷 499-506页

作者： Thomas, LC Jung, KM Thomas, SD Wu, Y Univ Southampton Sch Management Southampton SO17 1BJ Hants England Kyungsung Univ Dept Informat Stat Pusan 608736 South Korea

This paper investigates how to estimate the likelihood of a customer accepting a loan offer as a function of the offer parameters and how to choose the optimal set of parameters for the offer to the applicant in real time. There is no publicly available data set on whether customers accept the offer of a financial product, whose features are changing from offer to offer. Thus, we develop our own data set using a fantasy student current account. In this paper, we suggest three approaches to determine the probability that an applicant with characteristics will accept offer characteristics using the fantasy student current account data. Firstly, a logistic regression model is applied to obtain the acceptance probability. Secondly, linear programming is adapted to obtain the acceptance probability model in the case where there is a dominant offer characteristic, whose attractiveness increases (or decreases) monotonically as the characteristic's value increases. Finally, an accelerated life model is applied to obtain the probability of acceptance in the case where there is a dominant offer characteristic. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： student bank account acceptance probability coarse classifying logistic regression model linear programming accelerated life model

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A semiparametric hypothesis testing procedure for the ROC curve area under a density ratio model

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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2006年第7期50卷 1855-1876页

作者： Zhang, B Univ Toledo Dept Math Toledo OH 43606 USA

We propose a semiparametric Wald statistic to test whether a diagnostic test is capable of discriminating between diseased and nondiseased subjects based on the receiver operating characteristic (ROC) curve area under a two-sample semiparametric density ratio model. The proposed Wald test is constructed on the basis of the maximum semiparametric likelihood estimator of the ROC curve area. The proposed test statistic has an asymptotic chi-squared distribution under the null hypothesis and an asymptotic noncentral chi-squared distribution under local alternatives to the null hypothesis. We present some results on a simulation study and on the analysis of two data sets. (C) 2005 Elsevier B.V. All rights reserved.

关键词： binormal model chi-squared density ratio model Gaussian process local alternative logistic regression model maximum likelihood power ROC curve Wald test

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Is rigorous punishment effective? A case study of lifetime license revocation in Taiwan

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ACCIDENT ANALYSIS AND PREVENTION 2006年第2期38卷 269-276页

作者： Chang, HL Woo, TH Tseng, CM Natl Chiao Tung Univ Dept Transportat Technol & Management Hsinchu 30010 Taiwan

This study investigated the effectiveness of administrative lifetime driver's license revocation (ALLR) and its impact on offenders, based on a two-stage survey of 768 offenders. It was found that after ALLR had been imposed, 23.4% of these offenders were still driving almost the same as before, 59.8% drove significantly less frequently, and only 16.8% of the offenders gave up driving completely. The results of logistic regression models showed that offenders' compliance with ALLR was significantly correlated with their personal characteristics (age, income), penalty status (incarceration, duration of ALLR), and the need to drive for working, commuting and shopping. Elderly and low-income offenders were more likely to abide by the ALLR restriction. The application of the generalized estimating equations (GEE) model was used to identify the determinant factors affecting offenders' driving mileage, and to effectively estimate the driving mileage reduction as a result of the ALLR. It was found that ALLR is fairly effective in keeping offenders off the road, but that it may reduce their ability to make a living. resulting in the less fortunate becoming more helpless. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： license revocation driving exposure logistic regression model GEE

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