Limit expressions for the risk of james-stein estimators

Limit expressions (as the dimension p ← ∞ ) are derived for the relative risk of the James-Stein estimator and its positive-part version. The limit is simple to evaluate, and gives the amount of improvement in risk that is possible. The technique used is to bound the risk, both above and below. with bounds that converge to the same limit. For the James-Stein estimator these bounds are simple to calculate, and are quite accurate even for moderate dimensions.     

The problem posed by immigrants married abroad on intermarriage research: the case of Asian Americans

"Cross-sectional and longitudinal variations in rates of intergroup marriage [in the United States] have often been used as indicators of assimilation for minority groups. This article demonstrates that both types of comparisons can give misleading results when census data are used for calculating intermarriage rates without restrictions. Census data include immigrants who married abroad (IMAs) in the enumeration. The inclusion of these individuals in the study of intermarriage inevitably biases the level of minority inmarriage upward, making cross-sectional and longitudinal comparisons of intermarriage rates for groups with different levels of IMAs inappropriate. Cumulation of IMAs also inflates the inmarriage rates of older cohorts, leading to a misimpression of increasing outmarriage among younger cohorts. These problems are illustrated for several Asian groups using 1980 Public Use Microdata Sample data for California. Alternative approaches for remedying the problem are proposed and their different implications for assimilation theory and research are discussed."     

Distributed manufacturing support systems: the integration of distributed group support systems with manufacturing support systems

Current Manufacturing Support Systems (MSS), such as Computer-aided Manufacturing (CAM) Systems, Computer-aided Design (CAD) Systems, Computer Integrated Manufacturing (CIM) Systems, Material Resource Planning (MRP) Systems, and Manufacturing Accounting Control (MAC) Systems, are mostly independent systems that are operated in limited decision spaces, provide mainly formal and quantitative information, and thus pursue a goal of local optimization. To assist modern manufacturing in meeting the needs for integration, communication, collaboration, and decision making, we introduce the concept of integrating MSS with Distributed Group Support System (DGSS) into a Distributed Manufacturing Support System (DMSS). A rigorous system design approach is taken to model the manufacturing information requirements from a global perspective and pattern decision making processes within the structural (organizational design) and infrastructural (information system design) elements of manufacturing. The result is a conceptual DMSS design that provides an intelligent interface, accommodates incremental manufacturing integration, offers controllable message exchange facilities, and allows configurable communication networks.     

欧阳修著作初传韩国的时间及其刊行、流布的状况

欧阳修是著名的“唐宋人大家”之一,他的文章字字珠现,代代流传,至今传诵不衰。欧阳修的文章不仅在中国有着巨大的影响,并且很早就传入了韩国,在韩国的汉文学史上有着十分重要的地位。本文即旨在分析、论说欧阳修著作韩国的时间及其刊行、流布的具体状况,进而评说欧阳修文章对于韩国文人所产生的诸多影响及其对韩国汉文学发展的贡献所在。     

Semivarying coefficient least-squares support vector regression for analyzing high-dimensional gene-environmental data

In the context of genetics and genomic medicine, gene-environment (G×E) interactions have a great impact on the risk of human diseases. Some existing methods for identifying G×E interactions are considered to be limited, since they analyze one or a few number of G factors at a time, assume linear effects of E factors, and use inefficient selection methods. In this paper, we propose a new method to identify significant main effects and G×E interactions. This is based on a semivarying coefficient least-squares support vector regression (LS-SVR) technique, which is devised by utilizing flexible semiparametric LS-SVR approach for censored survival data. This semivarying coefficient model is used to deal with the nonlinear effects of E factors. We also derive a generalized cross validation (GCV) function for determining the optimal values of hyperparameters of the proposed method. This GCV function is also used to identify significant main effects and G×E interactions. The proposed method is evaluated through numerical studies.     

Parental financial support and filial responsibility in emerging adulthood: a comparative study between the United States and South Korea

Why do parents provide considerable financial support to their children in college? How do college students feel about their parental financial support and how does it differ between American and Korean cultural contexts? Based on multiple group analysis, we tested the impact of family income and parents’ education on parental tuition and living expenses supports, which in turn affects college students’ perception of filial responsibility across the United States and South Korea. Participants included 179 American college (AC) students from Syracuse University and 268 Korean college (KC) students from Yonsei University Wonju. We found that family income was significantly related to an increase in parental tuition and living expenses supports for both AC and KC students. However, parents’ education was significantly related to an increase in parental tuition and living expenses supports for AC students, but not for KC students. In addition, parental tuition support was related to an increase for filial responsibility, and parental living expenses were related to a decrease in filial responsibility in KC students, but not for AC students. These results indicate that the association between parental financial support and college students’ perception of filial responsibility differs across American and Korean cultural contexts.     

Academic Underachievement and Recovery: Student Perspectives on Effective Career Interventions

Academic achievement has a significant influence on various career development and decision‐making factors. Therefore, it is important for career counselors to understand how past academic underachievement affects students’ current lives and to develop interventions that might ameliorate negative effects. This study examined the experiences of 9 ethnically diverse college students who had experienced and overcome academic failure. Data were collected by individual interviews and analyzed based on the consensual qualitative research method. Four themes emerged in relation to participants’ academic underachievement and recovery: attitude, study strategies, external support, and coping difficulties. The results suggest that underachieving students are better able to cope with and overcome academic difficulties when they set clear career goals, use effective learning strategies, consciously put forth more effort, and receive external support.     

Wavelet-based Bayesian nonlinear regression for the air pollution effects on clinic visits in small areas of Taiwan

We revisit the complete clinic visit records and environmental monitoring data at 50 townships and city districts of Taiwan. Extending the earlier analyses, here we consider a Bayesian analysis using Daubechies wavelet. Appropriate model selection is also considered using Bayesian model averaging. Temperature, dew point, and NO₂ and CO of the current day and the previous day are identified as the pollutants in different areas of the island following some spatial pattern.     

A Note on the Inverse Birthday Problem With Applications

The classical birthday problem considers the probability that at least two people in a group of size N share the same birthday. The inverse birthday problem considers the estimation of the size N of a group given the number of different birthdays in the group. In practice, this problem is analogous to estimating the size of a population from occurrence data only. The inverse problem can be solved via two simple approaches including the method of moments for a multinominal model and the maximum likelihood estimate of a Poisson model, which we present in this study. We investigate properties of both methods and show that they can yield asymptotically equivalent Wald-type interval estimators. Moreover, we show that these methods estimate a lower bound for the population size when birth rates are nonhomogenous or individuals in the population are aggregated. A simulation study was conducted to evaluate the performance of the point estimates arising from the two approaches and to compare the performance of seven interval estimators, including likelihood ratio and log-transformation methods. We illustrate the utility of these methods by estimating: (1) the abundance of tree species over a 50-hectare forest plot, (2) the number of Chlamydia infections when only the number of different birthdays of the patients is known, and (3) the number of rainy days when the number of rainy weeks is known. Supplementary materials for this article are available online.     

Multidimensional Comparison of Personality Characteristics of the Big Five Model, Impulsiveness, and Affect in Pathological Gambling and Obsessive–Compulsive Disorder

The phenomenological resemblance between pathological gambling (PG) and obsessive-compulsive disorder (OCD) has led to suggestions that PG be categorized as an obsessive-compulsive-spectrum disorder (OCSD). This study aimed to explore whether PG resembles OCD in terms of personality and temperament. Fifteen patients with PG, 18 patients with OCD, and 33 healthy control subjects were included in the study. The study subjects were all male and drug na?ve. We analyzed data obtained from three self-report questionnaires assessing personality, impulsiveness, and affect: the short version of the NEO Personality Inventory-Revised (NEO-PI-R), the Barratt Impulsiveness Scale-11 (BIS-11), and the Positive Affect and Negative Affect Schedule (PANAS). Participants with PG and OCD demonstrated less conscientiousness (F = 7.089, P = .002) and less openness to experience (F = 6.268, P = .003) and less positive affect (F = 15.816, P < .001) than did healthy controls. The two diagnostic groups did not differ from each other with respect total BIS-11 scores, but those with OCD showed more neuroticism than did those with PG and healthy controls ( F = 9.556, P < .001), and those with PG obtained higher scores on the non-planning impulsiveness factor of BIS-11 than did those with OCD or healthy controls ( F = 9,835, P < .001). PG and OCD share similar profiles in terms of personality and temperament. This study provides phenomenological evidence supporting the conceptualization of PG as an OCSD.