Edge-fault-tolerant hamiltonicity of locally twisted cubes under conditional edge faults

The locally twisted cube is a variation of hypercube, which possesses some properties superior to the hypercube. In this paper, we investigate the edge-fault-tolerant hamiltonicity of an n-dimensional locally twisted cube, denoted by LTQ _n . We show that for any LTQ _n (n≥3) with at most 2n−5 faulty edges in which each node is incident to at least two fault-free edges, there exists a fault-free Hamiltonian cycle. We also demonstrate that our result is optimal with respect to the number of faulty edges tolerated.     

Modeling Heteroscedasticity in Daily Foreign-Exchange Rates

This article estimates autoregressive conditionally heteroscedastic (ARCH) and generalized ARCH (GARCH) models for five foreign currencies, using 10 years of daily data, a variety of ARCH and GARCH specifications, a number of nonnormal error densities, and a comprehensive set of diagnostic checks. It finds that ARCH and GARCH models can usually remove all heteroscedasticity in price changes in all five currencies. Goodness-of-fit diagnostics indicate that exponential GARCH with certain nonnormal distributions fits the Canadian dollar extremely well and the Swiss franc and the deutsche mark reasonably well. Only one nonnormal distribution fits the Japanese yen reasonably well. None fit the British pound.     

Risk perception and post-formation governance in international joint ventures in Taiwan: The perspective of the foreign partner

This paper draws on a risk analysis framework in order to develop a systematic understanding of the risks perceived by partners, and to investigate the implications of risk perception for the configuration of control, in the post-formation governance of international joint ventures. The key variables in this framework consist of six situational factors which are considered as potential antecedents of perceived risk: conflict, opportunism, cultural difference, dependence, partner fit, and ownership share; partner's perception of risk; and post-formation governance as a set of outcome variables. The framework is tested using a sample of international joint ventures located in Taiwan. The findings show that conflicts between partners, opportunistic behavior by the local partner, cultural differences, and perceived partner misfit are related to foreign partners' risk perceptions. This study suggests that when foreign partners face likely performance and partnership risks after an IJV is established, they tend to resort to tighter post-formation governance measures in order to increase or maintain their confidence in their joint ventures.     

Statistical modeling and inferences on dynamic decision-making mechanism underlying longitudinal distribution data with resource heterogeneity

We propose a new way of constructing dynamic decision-making model and a non-likelihood based statistical approach for analyzing a new data type: longitudinal distribution data. This longitudinal data records a trajectory of an animal’s dynamic decision-making when continuously exploiting a relative large, but close environment. The ensemble of all hosts contained in the environment is postulated to constitute a manifold of species-specific fitness-gains at any time point, and traverses through two major distinct phases: abundance vs. scarcity of pristine hosts. As such a manifold provides the relative potentials to all possible hosts available for selection, we construct a phase-dependent dynamic decision-making mechanism in a form of a self-adaptive conditional probabilistic model. We devise a Minimum Sum of Chi-squared approach to simultaneously evaluate individual cognitive capability within the two distinct phases and address the validity of the manifold based dynamic decision-making model on the longitudinal distribution data. We analyze three real data sets of seed beetle Callosobruchus maculatus collected from three experimental designs with different degrees of resource heterogeneity. Our statistical inferences are shown to successfully resolve the behavioral ecology issue of whether animal adaptively employs a dynamic decision-making mechanism in response to gradual environmental changes.     

跨领域法学学科的方法论:从法律与宗教谈起

一、绪论近年来,世界各国无不强调事关国力的经济发展与军事发展,社会上也普遍存在着一股盲目追求物质文明的风气,社会上各个角落,纷纷充斥着一股乖戾的风气,社会顿时成为"都市丛林",人人自危。不过,可喜的是,渐渐地,在缺乏精神文明的畸形现象持续一段时间后,人性的     

Counting Importance: The Case of Life Satisfaction and Relative Domain Importance

The purpose of this study was to explore whether the use of relative domain importance as a weighting mechanism at the individual level improved the correlation between the global life satisfaction and domain satisfaction measures. Results from telephone interviews with adults 50 years old or above in Chicago suggest that compared to simple average of domain satisfactions, using discrete domain importance rating as a weighting factor did not improve the correlation between global life satisfaction measure and domain satisfactions. However, the correlation was improved by using domain ranking. The findings suggest that the weighted average of domain satisfactions using domain ranking is a better indicator of global life satisfaction than the simple sum or average of domain satisfactions.     

Dating Trajectories From Middle to High School: Association With Academic Performance and Drug Use

This study identifies trajectories of dating from sixth to twelfth grade and describes the academic performance (teacher‐rated study skills and high school dropout) and self‐reported drug use associated with these trajectories, in a diverse sample randomly selected in sixth grade. Using a group‐based, semiparametric procedure, we identified four dating trajectories: low (16%), increasing (24%), high middle school (22%), and frequent (38%). Students in these latter two groups had significantly worse study skills, were four times more likely to drop out of school, and reported twice as much alcohol, tobacco, and marijuana use than students in the low and increasing dating groups. This study highlights the diversity of dating trajectories and some of the risks associated with early dating.     

Generalized confidence interval estimation for the mean of delta-lognormal distribution: an application to New Zealand trawl survey data

Highly skewed and non-negative data can often be modeled by the delta-lognormal distribution in fisheries research. However, the coverage probabilities of extant interval estimation procedures are less satisfactory in small sample sizes and highly skewed data. We propose a heuristic method of estimating confidence intervals for the mean of the delta-lognormal distribution. This heuristic method is an estimation based on asymptotic generalized pivotal quantity to construct generalized confidence interval for the mean of the delta-lognormal distribution. Simulation results show that the proposed interval estimation procedure yields satisfactory coverage probabilities, expected interval lengths and reasonable relative biases. Finally, the proposed method is employed in red cod densities data for a demonstration.     

The generalized inference on the sign testing problem about the normal variances

For the sign testing problem about the normal variances, we develop the heuristic testing procedure based on the concept of generalized test variable and generalized p-value. A detailed simulation study is conducted to empirically investigate the performance of the proposed method. Through the simulation study, especially in small sample sizes, the proposed test not only adequately controls empirical size at the nominal level, but also uniformly more powerful than likelihood ratio test, Gutmann's test, Li and Sinha's test and Liu and Chan's test, showing that the proposed method can be recommended in practice. The proposed method is illustrated with the published data.     

On heteroscedastic hazards regression models: theory and application

A class of non-proportional hazards regression models is considered to have hazard specifications consisting of a power form of cross-effects on the base-line hazard function. The primary goal of these models is to deal with settings in which heterogeneous distribution shapes of survival times may be present in populations characterized by some observable covariates. Although effects of such heterogeneity can be explicitly seen through crossing cumulative hazards phenomena in k -sample problems, they are barely visible in a one-sample regression setting. Hence, heterogeneity of this kind may not be noticed and, more importantly, may result in severely misleading inference. This is because the partial likelihood approach cannot eliminate the unknown cumulative base-line hazard functions in this setting. For coherent statistical inferences, a system of martingale processes is taken as a basis with which, together with the method of sieves, an overidentified estimating equation approach is proposed. A Pearson's χ² type of goodness-of-fit testing statistic is derived as a by-product. An example with data on gastric cancer patients' survival times is analysed.