Inferences on the Means of Two Log-Normal Distributions: A Computational Approach Test

In this article, we propose a novel approach for testing the equality of two log-normal populations using a computational approach test (CAT) that does not require explicit knowledge of the sampling distribution of the test statistic. Simulation studies demonstrate that the proposed approach can perform hypothesis testing with satisfying actual size even at small sample sizes. Overall, it is superior to other existing methods. Also, a CAT is proposed for testing about reliability of two log-normal populations when the means are the same. Simulations show that the actual size of this new approach is close to nominal level and better than the score test. At the end, the proposed methods are illustrated using two examples.     

论语文素质教育背景下的新诗教学

本文以语文素质教育为背景 ,联系中国诗教传统、新诗创作的发展和当代教育的历史转型 ,论述新诗的审美教育价值 ,包括培植理想精神、开启个体心智、蕴蓄生命激情和提升艺术地驾驭母语能力等方面 ,均有其他文体所无法取代的独特的美育价值。在此基础上 ,倡导注重美读、点拨和陶冶这些新诗教学的基本方法。     

谈分级显性意义假说对反语中的认知参照点的解释力

本文运用Giora的分级显性意义假说分析了Langacker的认知参照点理论，并对反语中的认知参照点进行分析，得出反语中的认知参照点也是层级突显的结论，为反语的理解提供一个新的视角。     

A modified false discovery rate multiple-comparisons procedure for discrete data, applied to human immunodeficiency virus genetics

Summary.  To help to design vaccines for acquired immune deficiency syndrome that protect broadly against many genetic variants of the human immunodeficiency virus, the mutation rates at 118 positions in HIV amino-acid sequences of subtype C versus those of subtype B were compared. The false discovery rate (FDR) multiple-comparisons procedure can be used to determine statistical significance. When the test statistics have discrete distributions, the FDR procedure can be made more powerful by a simple modification. The paper develops a modified FDR procedure for discrete data and applies it to the human immunodeficiency virus data. The new procedure detects 15 positions with significantly different mutation rates compared with 11 that are detected by the original FDR method. Simulations delineate conditions under which the modified FDR procedure confers large gains in power over the original technique. In general FDR adjustment methods can be improved for discrete data by incorporating the modification proposed.     

Hypothesis Testing in a Rayleigh Diffusion Model

Applying the large and moderate deviations for the log-likelihood ratio of the Rayleigh diffusion model, we give the negative regions in testing Rayleigh diffusion model and obtain the decay rates of the error probabilities.     

Managing C-suite conflict: The unique impact of internal and external governance interfaces on top management team reflexivity

The ability of Top Management Teams (TMTs) to reflect critically on their own actions represents an important element of effective TMT decision making and governance effectiveness. This paper therefore examines how the TMT-board interface internal to the organization, as well as the TMT interface with the external supervisory authority, shape TMT reflexivity. Drawing from governance and psychological theories, we posit that cognitive conflict at the TMT-board interface can escalate by increasing levels of affective TMT-board conflict, and hereby, harm TMT reflexivity if not managed well. This proposition was tested in a multisource team-level data set collected in the field among TMTs (N = 111 TMT members) and their supervisory boards (N = 152 board members) of 56 Dutch insurance companies. The findings demonstrate that the link between cognitive and affective TMT-board conflict is mitigated by board membership influx. Yet in cases where conflict escalation does occur, its subsequent impact on TMT reflexivity hinges on the degree to which an external supervisory authority monitored TMT actions. The results illustrate that TMT decision making processes can be effectively influenced by internal and external TMT-governance interfaces, yet at different conflict stages, and through different governance actions.     

Testing the Granger Noncausality Hypothesis in Stationary Nonlinear Models of Unknown Functional Form

In this article, we propose a general method for testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form. These tests are based on a Taylor expansion of the nonlinear model around a given point in the sample space. We study the performance of our tests by a Monte Carlo experiment and compare these to the most widely used linear test. Our tests appear to be well-sized and have reasonably good power properties.     

Issues in Second Language Acquisition

Input plays an important part in the acquisition of second language.This report will just focus on Krashen＇s Input Hypothesis and Long＇s Interaction Hypothesis concerning input.First a summary will be made about the two theories,and then the writer will make a comparison between the two.This report will conclude with the writer＇s observations of how her thinking about ＇input＇ has been clarified in the process of preparing and writing this report.     

Testing Hypotheses in Nonparametric Models of Production

Data envelopment analysis (DEA) and free disposal hull (FDH) estimators are widely used to estimate efficiency of production. Practitioners use DEA estimators far more frequently than FDH estimators, implicitly assuming that production sets are convex. Moreover, use of the constant returns to scale (CRS) version of the DEA estimator requires an assumption of CRS. Although bootstrap methods have been developed for making inference about the efficiencies of individual units, until now no methods exist for making consistent inference about differences in mean efficiency across groups of producers or for testing hypotheses about model structure such as returns to scale or convexity of the production set. We use central limit theorem results from our previous work to develop additional theoretical results permitting consistent tests of model structure and provide Monte Carlo evidence on the performance of the tests in terms of size and power. In addition, the variable returns to scale version of the DEA estimator is proved to attain the faster convergence rate of the CRS-DEA estimator under CRS. Using a sample of U.S. commercial banks, we test and reject convexity of the production set, calling into question results from numerous banking studies that have imposed convexity assumptions. Supplementary materials for this article are available online.