Optimal Design of Acceptance Sampling Plans by Variables for Nonconforming Proportions When the Standard Deviation Is Unknown

This article presents an optimization-based approach for the design of acceptance sampling plans by variables for controlling nonconforming proportions when the standard deviation is unknown. The variables are described by rigorous noncentral Student’s t-distributions. Single and double acceptance sampling (AS) plans are addressed. The optimal design results from minimizing the average sampling number (ASN), subject to conditions holding at producer’s and consumer’s required quality levels. The problem is then solved employing a nonlinear programming solver. The results obtained are in close agreement with previous sampling plans found in the literature, outperforming them regarding the feasibility.     

持续质量改进方法在消化内科住院患者跌倒护理中的应用

目的 通过持续质量改进方法的实施与效果评价,提高住院患者的自我防跌倒意识和生活质量。方法 观察对象分为对照组1069例,观察组1179例,观察组在对照组传统住院患者预防跌倒护理方法的基础上实施持续质量改进方法,比较两组的效果。结果 对照组住院患者发生11例患者意外跌倒。其中,男性7例,女性4例;跌倒发生时有家属陪伴7例,无家属陪伴4例;发生于日间4例,夜间7例,发生在走廊3例,床边8例;因下床小便出现跌倒6例,独自入厕3例,其他2例。出现骨折1例,头面部损伤4例,无跌倒并发症6例。观察组住院患者由于采用CQI及改进预防跌倒方法,取得了满意的效果,跌倒发生率为0,患者及家属对护理工作的满意度为98％。结论 持续质量改进方法在消化内科住院患者跌倒护理中的应用,有效减少住院患者跌倒发生率,提高了护理工作质量。     

精益改善活动的实现过程研究

由丰田生产方式（TPS）发展而来的精益生产（Lean）已经被越来越多的中国企业所接受,并引入实际工作当中。但是各企业的实施效果却相差甚远。究其原因,很重要的一点,就是企业对“持续改善”的实践效果不同.大多数实现精益生产效果不佳的企业．都没能很好的进行改善活动,反之亦然。本文分析了精益改善活动在企业中的作用,并对其实现过程中的几个关键因素进行了研究。     

重思有灵, 激活思想

文章试图重新思考民族志中有关泛灵论的材料,目的是要理解生命的意义。西方传统理论和受其影响的现代科学理论被确证存在着转换的逻辑：这些理论倾向于认为个体生命是从世界中抽离出来的,是一个有边界的实体。作者试图从＂生生不息＂＂生命存在的关系构造＂以及＂运动的首要地位＂等方面重新思考生命世界的意义,并指涉现代科学的研究。通过区分＂对世界感到惊奇＂与＂对世界感到震撼＂来反思现代科学的不足之处,并提出理解世界的新视角——栖居。     

Multivariate statistics books are reviewed

Asymptotic inferences about a linear combination of K independent binomial proportions are very frequent in applied research. Nevertheless, until quite recently research had been focused almost exclusively on cases of K≤2 (particularly on cases of one proportion and the difference of two proportions). This article focuses on cases of K>2, which have recently begun to receive more attention due to their great practical interest. In order to make this inference, there are several procedures which have not been compared: the score method (S0) and the method proposed by Martín Andrés et al. (W3) for adjusted Wald (which is a generalization of the method proposed by Price and Bonett) on the one hand and, on the other hand, the method of Zou et al. (N0) based on the Wilson confidence interval (which is a generalization of the Newcombe method). The article describes a new procedure (P0) based on the classic Peskun method, modifies the previous methods giving them continuity correction (methods S0c, W3c, N0c and P0c, respectively) and, finally, a simulation is made to compare the eight aforementioned procedures (which are selected from a total of 32 possible methods). The conclusion reached is that the S0c method is the best, although for very small samples (n _i ≤10, ? i) the W3 method is better. The P0 method would be the optimal method if one needs a method which is almost never too liberal, but this entails using a method which is too conservative and which provides excessively wide CIs. The W3 and P0 methods have the additional advantage of being very easy to apply. A free programme which allows the application of the S0 and S0c methods (which are the most complex) can be obtained at http://www.ugr.es/local/bioest/Z_LINEAR_K.EXE.     

The Equivalence of Two Proportions Revisited

The classic conditional test for checking that the difference between two independent proportions is not null may not be appropriate in many circumstances. Dunnett & Gent (1977) showed that in clinical trials, in studies of drugs, etc, the aim is to prove the practical equality (equivalence) of both proportions. On other occasions the aim may be the opposite: i.e. to prove that the two proportions are substantially different (biologically significant). Both cases are usually solved by two one-sided tests (TOST test). In this article, this procedure is shown to be conservative and two true two-sided tests for each case are proposed.     

矩阵Liouville公式

多重积分中的Liouville公式被文[1][2]进行了推广,本文中对[1][2]中的积分变量改为正定列满秩矩阵,也得到了相应的Liouville公式,它将包含[1][2]中的Liouville公式。     

A new estimation method for continuous threshold expectile model

The continuous threshold expectile regression model could capture the effect of a covariate on the response variable with two different straight lines, while intersecting an unknown threshold needed be estimated. This article proposes a new estimation method via a linearization technique to estimate the regression coefficients and the threshold simultaneously. Statistical inferences of the proposed estimators are easily derived from the existing theory. Moreover, the estimation procedure is readily implemented by the current software. Simulation studies and an application on GDP per capita and quality of electricity supply data illustrate the proposed method.     

Modeling fetal-growth biometry with Response Modeling Methodology (RMM) and comparison to current models

Monitoring fetal growth via ultrasound requires modeling fetal biometry in terms of gestation age. In this study, we compare Response Modeling Methodology (RMM) to current models, in three stages. First, RMM is used to approximate 47 empirical mean models that have appeared in the literature resulting in models with negligible loss in accuracy (unlike two other commonly applied models). Next, RMM models are fitted to sample averages of the Singaporean population and compared to a formerly published model. A similar simulation-based analysis is performed in the last stage for raw data of the British population. Altogether over 70 comparisons had been performed resulting in RMM consistently delivering better performing models.     

Detecting instants of jumps and estimating their intensity in the context of p derivatives with continuous or discrete data

In this article, we consider the ARD^(p)(1) process where D[0, 1] is the space of cadlag function and the pth derivative has a possible jump. One envisages to detect the position and intensity of jump in the context of p derivatives with continuous or discrete data. We also envisage jump for the (p + 1)th derivative. The main result allows to detect jump and to detect intensity of jump simultaneously. Asymptotic results are derived.