海峡西岸社会主义新农村规划与实施的若干建议

在把握海峡西岸社会主义新农村建设的战略定位、价值选择和几大主要矛盾问题的基础上,从规划定位与规划要处理的几个关系,规划实施过程中的试点、农村产业体系的构建、体制机制的创新与完善等方面提出相关的建议。     

我国城市生态文化建设总体规划的内容与方法

在明确生态文化建设规划概念的前提下,对城市生态文化建设规划的范围、目的、期限等问题进行了阐述,从规划开展的操作层面上提出了一个具体地域的生态文化建设规划,应包括资料收集、现状调研、规划制订、后期反馈4个环节在内的实施步骤。同时,结合南京、西安、九江等具体城市案例,将城市生态文化建设划分为依据社会需求的结构布局、依托资源基础的空间布局、立足社会背景的重点工程等3大主体部分,对其内容进行了详细说明。     

论美国在越南战争中的“超大计划”

“超大计划”是美国尼克松政府在越南战争结束前向南越实施的最后一次大规模军事援助计划。该计划的主要目的是在美军撤离前最大限度提升南越军队战斗力,使其代替美军承担主要作战任务,最终实现越战“越南化”。这项计划的顺利实施,不仅在客观上加速了美国撤出越南的进程,还因为该计划涉及美国与其他盟友之间的国际合作,对美国与其他盟友的关系和地区局势也产生了辐射影响。     

中国法院对重整计划强制批准的问题与解决

法院对重整计划的强制批准是破产法中的核心法律制度,“供给侧结构性改革”推动了法院对重整计划强制批准的司法适用。中国法院对这一“舶来”法律制度的司法适用存在诸多问题:严重的社会本位主义、盲目过高的适用比例、与正常批准的关系颠倒、缺乏全面的审查规定、对普通债权人的保护不利等。要回归法院强制批准正确的司法功能,确保中国法院对重整计划强制批准的正当适用,就必须借鉴《联合国破产法立法指南》及域外的立法,结合2018年最高院《破产审判会议纪要》“审慎适用”规定,从理论、立法和司法层面寻求对问题的解决途径包括充分认识法院强制批准权力的属性、正确定位正常批准和强制批准的关系、修订完善强制批准的实体审查条件、合理构建强制批准的审查程序等。法院对重整计划强制批准问题的解决有助于中国《企业破产法》的修订完善。     

On Some Aspects of Unbiased Estimation of Parameters in Quasi-Binomial Distributions

In this article, an attempt has been made to settle the question of existence of unbiased estimator of the key parameter p of the quasi-binomial distributions of Type I (QBD I) and of Type II (QBD II), with/without any knowledge of the other parameter φ appearing in the expressions for probability functions of the QBD's. This is studied with reference to a single observation, a random sample of finite size m as also with samples drawn by suitably defined sequential sampling rules.     

On the Use of a Log-Rate Model for Survey-Weighted Categorical Data

For the analysis of survey-weighted categorical data, one recommended method of analysis is a log-rate model. For each cell in a contingency table, the survey weights are averaged across subjects and incorporated into an offset for a loglinear model. Supposedly, one can then proceed with the analysis of unweighted observed cell counts. We provide theoretical and simulation-based evidence to show that the log-rate analysis is not an effective statistical analysis method and should not be used in general. The root of the problem is in its failure to properly account for variability in the individual weights within cells of a contingency table. This results in goodness-of-fit tests that have higher-than-nominal error rates and confidence intervals for odds ratios that have lower-than-nominal coverage.     

Two-Stage Variables Acceptance Sampling Plans Using Process Loss Functions

In this article, a variable two-stage acceptance sampling plan is developed when the quality characteristic is evaluated through a process loss function. The plan parameters of the proposed plan are determined by using the two-point approach and tabulated according to various quality levels. Two cases are discussed when the process mean lies at the target value and when it does not, respectively. Extensive tables are provided for both cases and the results are explained with examples. The advantage of the proposed plan is compared with the existing variable single acceptance sampling plan using the process loss function.     

Nonparametric Prediction Intervals for Future Order Statistics in a Proportional Hazard Model

Consider k independent random samples with different sample sizes such that the ith sample comes from the cumulative distribution function (cdf) F _i  = 1 ? (1 ? F)^{α _i} , where α _i is a known positive constant and F is an absolutely continuous cdf. Also, suppose that we have observed the maximum and minimum of the first k samples. This article shows how one can construct the nonparametric prediction intervals for the order statistics of the future samples on the basis of these information. Three schemes are studied and in each case exact expressions for the prediction coefficients of prediction intervals are derived. Numerical computations are given for illustrating the results. Also, a comparison study is done while the complete samples are available.     

The Modified Pulak and Al-Sultan's Model for Determining the Optimum Process Parameters

Economic selection of process parameters has been an important topic in modern statistical process control. The optimum process parameters setting have a major effect on the expected profit/cost per item. There are some concerns on the problem of setting process parameters. Boucher and Jafari (1991 Boucher , T. O. , Jafari , M. A. ( 1991 ). The optimum target value for single filling operations with quality sampling plans . J. Qual. Technol. 23 : 44 – 47 . [CSA] [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) first considered the attribute single sampling plan applied in the selection of process target. Pulak and Al-Sultan (1996 Pulak , M. F. S. , Al-Sultan , K. S. ( 1996 ). The optimum targeting for a single filling operation with rectifying inspection . Omega 24 : 727 – 733 . [CSA] [CROSSREF] [Crossref], [Web of Science ®] , [Google Scholar]) extended Boucher and Jafari's model and presented the rectifying inspection plan for determining the optimum process mean. In this article, we further propose a modified Pulak and Al-Sultan model for determining the optimum process mean and standard deviation under the rectifying inspection plan with the average outgoing quality limit (AOQL) protection. Taguchi's (1986 Taguchi , G. ( 1986 ). Introduction to Quality Engineering . Asian Productivity Organization . [Google Scholar]) symmetric quadratic quality loss function is adopted for evaluating the product quality. By solving the modified model, we can obtain the optimum process parameters with the maximum expected profit per item and the specified quality level can be reached.