Ancestral Inference in Population Genetics Models with Selection (with Discussion)

A new algorithm is presented for exact simulation from the conditional distribution of the genealogical history of a sample, given the composition of the sample, for population genetics models with general diploid selection. The method applies to the usual diffusion approximation of evolution at a single locus, in a randomly mating population of constant size, for mutation models in which the distribution of the type of a mutant does not depend on the type of the progenitor allele; this includes any model with only two alleles. The new method is applied to ancestral inference for the two‐allele case, both with genic selection and heterozygote advantage and disadvantage, where one of the alleles is assumed to have resulted from a unique mutation event. The paper describes how the method could be used for inference when data are also available at neutral markers linked to the locus under selection. It also informally describes and constructs the non‐neutral Fleming–Viot measure‐valued diffusion.     

Quality Control Chart for the Mean using Double Ranked Set Sampling

In this paper, an attempt is made to develop Quality Control Charts for monitoring the process mean based on Double Ranked Set Sampling (DRSS) rather than the traditional Simple Random Sampling (SRS). Considering a normal population and several shift values, the performance of the Average Run Length (ARL) of these new charts was compared with the control charts based on Ranked Set Sampling (RSS) and SRS with the same number of observations. It is shown that the new charts do a better job of detecting changes in process mean compared with SRS and RSS.     

对我校部分英语教师现代教育技术状况的调查及建议

大学英语教学改革是近年来高校教学改革的重头戏.广东高校的英语教学改革试点工作已全面铺开,作为广东省重点高校之一,广东工业大学英语教学改革的技术状况如何?应从哪些方面完善?作者利用管理语音室的有利条件,对此作了初步调查,并提出了一些粗浅建议.     

ANOMALIES, PROBINGS, INSIGHTS: KEN FOREMAN'S ROLE IN THE SAMPLING INFERENCE CONTROVERSY OF THE LATE 20TH CENTURY

This paper is based on the author's recollections of work done for and with E.K. Foreman, and later developments of that work. It describes most particularly the author's early intimations of the potential for using prediction models in survey sampling, the reasons why the use of such models, especially for inferential purposes, was so strongly resisted in the second half of the 20th century, the manner in which randomization and prediction inferences can be combined, and some advantages flowing from that combination.     

通过问卷调查探讨考试规范的现状

考试规范是一个有关考什么和怎样考的书面文献,它在考试命题中起着重要作用。本文在问卷调查和相关文献的基础上,首先分析了广大英语教师对考试规范的认识、制定情况,探讨考试规范与考试大纲的区别和联系,考试规范在保证试卷的内容效度、结构效度及考试评估中的作用,然后指出考试规范制定的程序,希望能引起广大英语教师的重视。     

总体分高低成本下的复合多目标抽样方案的设计与应用

文章依据复合多目标抽样的基本原理,提出了高低成本指标广义相关下的多目标复合抽样方法的设计方案,探讨了依广义相关性进行分类的抽样方案在精度和成本方面的优良性,并进行了实际比较与应用。     

庆阳市38所乡镇初级中学英语成绩测试调研报告

经过对庆阳市38所乡镇初级中学英语成绩测试现状的调研,发现这些学校的测试实践科学性不足,测试体系不完善,测试结果不能有效地指导教学。要落实新课程标准的各项目标,搞好教改,就必须规范和加强语言测试工作。     

DOMAIN ESTIMATION IN FINITE POPULATIONS1

This paper suggests unbiased estimators (UE's) for the size, mean and total of a domain, with specific features, in a given finite population on the basis of simple random sampling without replacement (SRSWOR) continued till a preassigned number of domain members is observed.     

大学生生活应激与自我监控状况调查

文章通过对 4 5 5名大学生进行生活应激与自我监控状况调查 ,结果显示 :有 14 3%的学生处于高应激状态 ,34 9%的学生的自我监控水平较高 ;学生面对生活应激时 ,存在性别、年级及家庭经济状况的显著差异 ,学生在生活应激的压力、自我强加、情绪反应三个变量上存在着自我监控水平的显著差异。文章针对结果提出了应对的相应措施。     

The Skew‐normal Distribution and Related Multivariate Families*

Abstract. This paper provides an introductory overview of a portion of distribution theory which is currently under intense development. The starting point of this topic has been the so‐called skew‐normal distribution, but the connected area is becoming increasingly broad, and its branches include now many extensions, such as the skew‐elliptical families, and some forms of semi‐parametric formulations, extending the relevance of the field much beyond the original theme of ‘skewness’. The final part of the paper illustrates connections with various areas of application, including selective sampling, models for compositional data, robust methods, some problems in econometrics, non‐linear time series, especially in connection with financial data, and more.