Optimal acceptance sampling policy considering Bayesian risks

In this paper, we propose a sampling policy considering Bayesian risks. Various definitions of producer's risk and consumer's risk have been made. Bayesian risks for both producer and consumer are proven to give better information to decision-makers than classical definitions of the risks. So considering the Bayesian risk constraints, we seek to find optimal acceptance sampling policy by minimizing total cost, including the cost of rejecting the batch, the cost of inspection, and the cost of defective items detected during the operation. Proper distributions to construct the objective function of the model are specified. In order to demonstrate the application of the proposed model, we illustrate a numerical example. Furthermore, the results of the sensitivity analysis show that lot size, the cost of inspection, and the cost of one defective item are key factors in sampling policies. The acceptable quality level, the lot tolerance proportion defective, and Bayesian risks also affect the sampling policy, but variations of acceptable quality level and producer Bayesian risks, for values more than a specified value, cause no changes in sampling policy.     

Permuting incomplete paired data: a novel exact and asymptotic correct randomization test

Various statistical tests have been developed for testing the equality of means in matched pairs with missing values. However, most existing methods are commonly based on certain distributional assumptions such as normality, 0-symmetry or homoscedasticity of the data. The aim of this paper is to develop a statistical test that is robust against deviations from such assumptions and also leads to valid inference in case of heteroscedasticity or skewed distributions. This is achieved by applying a clever randomization approach to handle missing data. The resulting test procedure is not only shown to be asymptotically correct but is also finitely exact if the distribution of the data is invariant with respect to the considered randomization group. Its small sample performance is further studied in an extensive simulation study and compared to existing methods. Finally, an illustrative data example is analysed.     

Fetal movements: What are we telling women?

Problem

Information that women receive about the importance of monitoring fetal movements and what to do if there are changes is inconsistent and may not be evidence based.

中东大规模动荡与我国的外交应对

中东剧变一年多以来,阿拉伯国家蒙受巨大冲击,引起了所有中东国家乃至国际社会的高度关注,而这首先与中东的重要位置有关.这次变局几乎波及所有阿拉伯国家,民众诉求涉及政治、经济、社会诸多方面.问题是长年积累下来的,2011年的动荡应是这种情绪的大爆发,虽会推动社会前进,但代价却是巨大的.叙利亚问题前景仍不明朗,目前只维持了脆弱的和平.中国以“不干涉内政”原则和“劝和促谈”的方针应对这次大动荡是正确的、主动的,不管外界有多少反对声音和暂时的不理解,都应坚定不移地走下去.     

从俞平伯晚年自省和“李希凡自述”想到的(之三)——回应俞平伯晚年的红学研究反思

俞平伯先生晚年的红学自省是真实可信的,应引起红学界高度重视,他的红学研究思想的重大变化同1954年那场对他的批评有内在的因果关系。对当年那场"批俞评红"不能全盘否定,不能只讲负面问题,全面否定其正确性和必要性。现在红学研究的一些乱象正是当年批判过了的错误研究思想、研究方法的泛滥。这种泛滥同对当年的全盘否定不无关系。     

On some aspects of a generalized alternative zero-inflated logarithmic series distribution

Here, we consider a generalized form of the alternative zero-inflated logarithmic series distribution of Kumar and Riyaz (J. Statist. Comp. Simul., 2015) and study some of its important aspects. The parameters of the distribution are estimated by the method of maximum likelihood and some test procedures are developed for testing the significance of the additional parameter of the model. All these estimation and testing procedures are illustrated with the help of certain real life datasets. A simulation study is also carried out for assessing the performance of the estimators.     

Raising rural women’s voices: From self-silencing to self-expression

Within the context of a community-academic partnership, we undertook a mixed-methods study to identify and explore health status, priorities, and management strategies among aging Wisconsin rural women. A questionnaire measuring diverse wellness needs was administered to women participating in personal development programming offered by a rural nonprofit organization. A subgroup participated in qualitative interviews to deepen the understanding of identified health priorities and methods of coping and healing. Findings provide insight into the prevalence of self-silencing among rural women and highlight mechanisms that help to facilitate the dismantling of self-silencing.     

Fitting competing risks data to bivariate Pareto models

This paper revisits two bivariate Pareto models for fitting competing risks data. The first model is the Frank copula model, and the second one is a bivariate Pareto model introduced by Sankaran and Nair (1993 Sankaran, P. G., and N. U. Nair. 1993. A bivariate Pareto model and its applications to reliability. Naval Research Logistics 40 (7):1013–1020. doi:10.1002/1520-6750(199312)40:7%3c1013::AID-NAV3220400711%3e3.0.CO;2-7.[Crossref], [Web of Science ®] , [Google Scholar]). We discuss the identifiability issues of these models and develop the maximum likelihood estimation procedures including their computational algorithms and model-diagnostic procedures. Simulations are conducted to examine the performance of the maximum likelihood estimation. Real data are analyzed for illustration.     

Model selection for factor analysis: Some new criteria and performance comparisons

This paper derives Akaike information criterion (AIC), corrected AIC, the Bayesian information criterion (BIC) and Hannan and Quinn’s information criterion for approximate factor models assuming a large number of cross-sectional observations and studies the consistency properties of these information criteria. It also reports extensive simulation results comparing the performance of the extant and new procedures for the selection of the number of factors. The simulation results show the di?culty of determining which criterion performs best. In practice, it is advisable to consider several criteria at the same time, especially Hannan and Quinn’s information criterion, Bai and Ng’s IC_p2 and BIC₃, and Onatski’s and Ahn and Horenstein’s eigenvalue-based criteria. The model-selection criteria considered in this paper are also applied to Stock and Watson’s two macroeconomic data sets. The results differ considerably depending on the model-selection criterion in use, but evidence suggesting five factors for the first data and five to seven factors for the second data is obtainable.     

Children and global social policy: Exploring the impact of international governmental organisations

Axford N. Children and global social policy: exploring the impact of international governmental organisations International governmental organisations (IGOs) seek to influence child welfare policy and practice in individual sovereign states. But do they succeed and, if so, in what way? This article outlines the nature of selected IGOs' work, explores the nature of their impact and seeks to explain the pattern that emerges. It also notes areas for further research.