Calculating the mvue of the fraction nonconforming for the bivariate normal

The minimum variance unbiased estimator of the proportion lying outside an m-dimensional rectangle for multivariate normal populations was derived by Baillie (1987a, b). The estimator is a natural extension of a univariate estimator widely used in acceptance sampling. Computation of the multivariate estimator is nontrivial; one must integrate a multivariate density over the intersection of an m-dimensional ellipsoid and an m-dimensional rectangle. We propose an algorithm for the bivariate case which involves a one-dimensional numerical integration and calls to routines for either an incomplete beta function or a Student's t cumulative distribution function     

Improved attribute acceptance sampling plans based on maxima nomination sampling

This paper demonstrates the use of maxima nomination sampling (MNS) technique in design and evaluation of single AQL, LTPD, and EQL acceptance sampling plans for attributes. We exploit the effect of sample size and acceptance number on the performance of our proposed MNS plans using operating characteristic (OC) curve. Among other results, we show that MNS acceptance sampling plans with smaller sample size and bigger acceptance number perform better than commonly used acceptance sampling plans for attributes based on simple random sampling (SRS) technique. Indeed, MNS acceptance sampling plans result in OC curves which, compared to their SRS counterparts, are much closer to the ideal OC curve. A computer program is designed which can be used to specify the optimum MNS acceptance sampling plan and to show, visually, how the shape of the OC curve changes when parameters of the acceptance sampling plan vary. Theoretical results and numerical evaluations are given.     

Analyzing Binomial Data in a Split-Plot Design: Classical Approach or Modern Techniques?

Modeling data that are non-normally distributed with random effects is the major challenge in analyzing binomial data in split-plot designs. Seven methods for analyzing such data using mixed, generalized linear, or generalized linear mixed models are compared for the size and power of the tests. This study shows that analyzing random effects properly is more important than adjusting the analysis for non-normality. Methods based on mixed and generalized linear mixed models hold Type I error rates better than generalized linear models. Mixed model methods tend to have higher power than generalized linear mixed models when the sample size is small.     

A Practical Implementation and Bayesian Estimation in Franklin's Randomized Response Procedure

A Bayesian estimator based on Franklin's randomized response procedure is proposed for proportion estimation in surveys dealing with a sensitive character. The method is simple to implement and avoids the usual drawbacks of Franklin's estimator, i.e., the occurrence of negative estimates when the population proportion is small. A simulation study is considered in order to assess the performance of the proposed estimator as well as the corresponding credible interval.     

Women Underrepresentation in R&I: A Sector Program Assessment of the Contribution of Gender Equality Policies in Research and Innovation

Despite decades of efforts to achieve gender equality in research and innovation (R&I), all EU member states still face remarkable difficulties in driving forward the development of their innovation system while at the same time improving gender equality by using all the available research potential. In this paper we focus on the development of the share of women researchers in four national innovation systems, i.e. in Austria, Denmark, Hungary and Spain in the time period 2005-2015. The four selected cases represent countries with significant differences in their innovation capacity, gender regimes and progress of gender equality in R&I. A qualitative comparative analysis (QCA) is carried out to conduct a sector program evaluation based on statistical data and qualitative studies to understand the dynamic development of the proportion of women researchers. The study aims to provide insights into the aggregated gender equality interventions and policies implemented in the four countries studied and their contributions to the development of the proportion of women scientists at the structural level. The analysis reveals that the development of the share of women researchers during the studied period has been particularly influenced by contextual factors, namely the relative size of the business enterprise sector and the share of women among holders of tertiary education. While this is the case, it is found that gender equality interventions need to be more widespread and more effectively designed to be a strong contributing factor to an increasing representation of women in R&I.     

人口结构失衡与犯罪研究：回顾、借鉴与展望

通过对现有东西方人口结构与犯罪关系文献的梳理和总结,笔者提出了适合研究性别比偏高亚洲国家的假设框架,以及可婚配男（女）性比例与犯罪率的u型假说。对中国1982—2008年人口年龄一性别结构与犯罪率数据探索性分析显示：反映人口年龄一性别结构的青年男性比例与可婚配男性比例的波动与犯罪率的波动高度一致,未来婚姻市场可婚配男性比例的不断升高将成为影响犯罪的主要人口结构因素。     

地方政府执行力评价体系的构建及测度

从政府执行力的生长机理出发,提出地方政府执行力的评价体系及计算公式.在问卷分析的基础上,通过一系列的推算过程,分别对地方政府执行力评价体系中的各相关指标的权重数赋值,并采用SPSS统计软件的信度检验方法和效度检验方法对本评价体系的相关指标进行了检验.     

明清以来湖南地区家族人口未婚状况的考察(1413—1949)——以湘乡曾氏、胡氏和长沙王氏为中心

本文主要利用湖南湘乡曾氏、胡氏和长沙王氏三部族谱,就湖南地区明清以来200多年间家族人口中的男性未婚比例、变化及其原因进行了统计、分析。统计结果显示,湖南地区明清以来家族人口中存在着较高的男性未婚比例,有其地域特征;年满40、50岁以上的男性未婚比例大致呈现出由低到高、再由高降低的变化趋势,这一变化与先前认识存在着差异。此外,本文也对家族女儿不婚的现象进行了描述。     

A process capability index that is based on the proportion of conformance

In this paper a new process capability index is proposed, which is based on the proportion of conformance of the process and has several appealing features. This index is simple in its assessment and interpretation and is applicable to normally or non-normally distributed processes. Likewise, its value can be assessed for continuous or discrete processes, it can be used under either unilateral or bilateral tolerances and the assessment of confidence limits for its true value is not very involved, under specific distributional assumptions. Point estimators and confidence limits for this index are investigated, assuming two very common continuous distributions (normal and exponential).     

家庭知识资源贫困的代际传承与文化不适——兰州市回族学校回族学生低升学率原因的调查与分析

本文运用社会学和人类学的方法对兰州市回族学校回族学生低升学率的原因进行了调查与分析,认为家庭知识资源贫困与文化不适是造成回族学生低升学率的主要原因,并提出了相当的建议。