Empirical Bayes sequential estimation of a finite population mean

In this article, we consider the Bayes and empirical Bayes problem of the current population mean of a finite population when the sample data is available from other similar (m-1) finite populations. We investigate a general class of linear estimators and obtain the optimal linear Bayes estimator of the finite population mean under a squared error loss function that considered the cost of sampling. The optimal linear Bayes estimator and the sample size are obtained as a function of the parameters of the prior distribution. The corresponding empirical Bayes estimates are obtained by replacing the unknown hyperparameters with their respective consistent estimates. A Monte Carlo study is conducted to evaluate the performance of the proposed empirical Bayes procedure.     

On minimum distance estimation of location based on the kolmogorov statistic

The asymptotic distribution is derived for the minimum distance estimator of a location parameter based on the Kolmogorov goodness of fit statistic. The distribution is expressed in terms of the distribution of a functional of a Brownian bridge. An upper bound is obtained for the length of the confidence interval based on the Kolmogorov statistic. A simulation study with sample sizes 10 and 20 compares the length of the interval based on the Kolmogorov statistic to the length of the interval based on the maximum likelihood estimator. Another simulation shows the effect of model misspecification on the coverage probabilities of the interval based on the Kolmogorov statistic.     

Modified moment and maximum likelihood estimators for parameters of the three-parameter gamma distribution

This article is concerned with modifications of both maximum likelihood and moment estimators for parameters of the three-parameter gamma distribution. Modifications employed here are essentially the same as those previously considered by the authors (1980, 1981) in connection with the lognormal distribution. Sampling behavior of the estimates is indicated by a Monte Carlo simulation. For certain combinations of parameter values, these new estimators appear better than both maximum likelihood and moment estimators with respect to bias, variance and/or ease of calculation.     

LIFE CHOICES—The Program and Its Users

Summary

LIFE CHOICES Is a pioneering sociological software program which realistically simulates the life cycle in contemporary America. The player goes through life, making choices about school, work, family, finance, health and daily living. The result is a life scenario, consisting of a sequence of choices, realistic outcomes, choices, etc. LIFE CHOICES provides a realistic context for thinking through decisions which occur at every stage of life. This article describes LIFE CHOICES, its application within school, home and counseling settings, and the issues which were involved in its development and marketing.     

Robustness of a multiple ranking procedure: a monte carlo experiment illustrating design and analysis techniques

This case study demonstrates statistical design and analysis techniques applicable to any Monte Carlo or simulation experiment, namely a 2^7?3 experimental design, antithetic variates, sample size determination, analysis of variance, regression analysis, and simultaneous inference. The example is a Monte Carlo investigation of the robustness of Bechhofer and Blumenthal’s multiple ranking procedure (MRP). The investigation shows that their procedure works often, but not always. Factors that make it break down, are identified.     

可设置仲裁优先程度的NOC路由节点设计

针对片上网络(NOC)具体应用中各个IP之间出现不同的通信情况的问题,提出了一种可设置仲裁优先程度的NOC路由节点。该节点采用基于Lottery算法的仲裁机制,取代了目前NOC路由节点中广泛采用的轮询调度(RR)仲裁机制,可以根据具体应用的通信状况来设定仲裁响应的优先程度。在NOC路由节点中,设计了内部TUM(时间单元复用)的传输机制来解决不同输入口竞争同一输出口所带来的节点内部阻塞问题,使得即使在有多个端口竞争同一端口的情况下,路由节点仍然能保证输入的数据包和进入输出缓冲的数据包数量上的一致,大大提高了路由节点的处理性能。     

论数码艺术的审美及其影响下的价值取向

数码艺术从构造方式来看，是技术性的，但从其可视化的表现形式来看，则是艺术性的。作为技术与美学、科学与艺术相结合的产物，数码艺术家将其非凡的想象力与数字技术相结合，为人们呈现了一个非物质和艺术化的数字虚拟世界，也改变了传统的创造观念和审美趣味，其审美与价值取向问题也越来越引起社会各界的关注。     

Review of random and group-screening designs

Experiments with real systems, but especially with simulated systems, may involve hundreds of factors. However, only a few factors are really important. Detecting these Important factors requires special designs such as random and group-screening de-signs. Random designs are simple, but they yield biased esti-mators. Group-screening is based on aggregation. The assumptions of group-screening are discussed in detail, and seem not very restrictive. References to applications of both design types are given.     

A methodology for industrial studies of productivity performance

This article describes a methodology for measuring productivity and competitiveness in industry. The methodology is developed mainly for the mechanical industry (including shipyards, offshore and electromechanical companies). Two different approaches are described—one is based on a self-audit using a questionnaire answered by the industry itself, the second, using a more complete audit, is based on expert teams analysing the company. The productivity is described by indicators given points on a scale from 1 to 7 (1—far behind international competitors, 7—(best practice’).