Shortest prediction intervals for the birnbaum-saunders distribution

Shortest prediction intervals for a future observation from the Birnbaum-Saunders distribution are obtained from both frequentist and Bayesian perspectives. Comparisons are made with alternative intervals obtained via inversion. Monte Carlo simulations are performed to assess the approximate intervals.     

中国节节麦的细胞遗传学研究及有关问题探讨

应用染色体组分析法,对新疆节节麦、黄河流域节节麦、伊朗节节麦和中东节节麦的D染色体组进行了较系统的比较分析,结果表明:新疆节节麦与伊朗、中东两地节节麦在染色体组水平上无明显差异,其差异仅体现在染色体的细微结构组成上;臂内倒位是引起染色体结构组成上细微分化的主要原因。黄河流域节节麦与新疆节节麦的染色体组极为相近;其D组染色体无论在染色体组水平上,还是在染色体细微结构组成上均无差异。本文还就中国节节麦与中国特有六倍体普通小麦的起源演化,中国节节麦种质资源在现代小麦育种中的应用等问题进行了讨论。     

论我国高等教育运行机制的过渡与转换

本文认为,我国现阶段的高教运行机制正处于过渡与转换的初始阶段,机制转换的完成需要经历一个较长的过渡时期.为了顺利平稳地完成机制转换,必须构建相应的过渡性目标模式,以此作为从适应产品经济到适应有计划的商品经济的高教运行机制模式转换的中介。因此,今后—个时期高教改革的基本思路就不应只朝一个方向努力,而应以国家职能转变为契机,在国家、社会和学校三方面同时展开,并辅之于教育市场的不断培育和竞争机制的逐步加强。     

数学美在科学探索中的功能

本文通过对数学和自然科学发展史的考察,认为数学美在科学家的科学实践活动中,发挥着重要的动力作用和方法论功能。即数学美为科学探索提供持久的内在动力;为科学发现提供武器和导引;为科学成果提供选择和评价的标准。     

中国企业呼唤敏捷制造战略

本文简述了敏捷制造战略的主要思想,指出在中国实施敏捷制造战略是当务之急。为此,需要从中国制造业的实际出发解决敏捷化的制造单元技术,以敏捷方式集成制造单元等关键问题。本文认为中国的敏捷化制造单元的构建可基于独立制造岛,提出了以虚拟企业方式实施中国的集团化经营战略的设想。     

区域主导产业评价指标与数学模型

以现有研究成果为基础,建立了区域主导产业评价指标体系;基于灰色聚类的思想,提出了评价区域主导产业优度的数学模型-定权聚类评估模型,并对河南省武陟县工业主导产业选择进行了实证研究。     

规划调整决策任务分解、认知限制与决策支持

规划调整决策问题(PCDPs-Program and Control Decision Problems)都比较宏观综合,涉及面广且结构性差,决策支持需求不易确定。本论文将通过决策任务分解说明决策认知过程,并在知识分类的基础上论述完成决策任务中的认知限制,进而从扩展决策者的认知能力出发给出了决策支持基本功能设计和开发规划调整决策支持系统(PCDSS)的三层结构。     

Multilevel models for repeated binary outcomes: attitudes and voting over the electoral cycle

Models for fitting longitudinal binary responses are explored by using a panel study of voting intentions. A standard multilevel repeated measures logistic model is shown to be inadequate owing to a substantial proportion of respondents who maintain a constant response over time. A multivariate binary response model is shown to be a better fit to the data.     

Multivariate bandwidth selection for local linear regression

The existence and properties of optimal bandwidths for multivariate local linear regression are established, using either a scalar bandwidth for all regressors or a diagonal bandwidth vector that has a different bandwidth for each regressor. Both involve functionals of the derivatives of the unknown multivariate regression function. Estimating these functionals is difficult primarily because they contain multivariate derivatives. In this paper, an estimator of the multivariate second derivative is obtained via local cubic regression with most cross-terms left out. This estimator has the optimal rate of convergence but is simpler and uses much less computing time than the full local estimator. Using this as a pilot estimator, we obtain plug-in formulae for the optimal bandwidth, both scalar and diagonal, for multivariate local linear regression. As a simpler alternative, we also provide rule-of-thumb bandwidth selectors. All these bandwidths have satisfactory performance in our simulation study.