孵化知识与知识分类

认为语法、修辞和逻辑称为孵化知识 ,语言、文字语言和数学语言是孵化知识的三种主要表现形式。按照孵化知识 ,非孵化知识可划分为干中学知识、研究开发知识和正规教育知识。根据社会分工 ,知识可分成孵化知识和专门知识     

会计核算体系的改造及电算化

为实现会计的管理职能，适合管理信息需求的复杂性、多样性，须改造会计核算体系，使财务会计、管理会计融为一体．改造的思路是扩大核算空间和扩大分类法的种类和分类法本身，在计算机条件下的改造方案主要是对事项的完整描述。这种改造，对会计电算化有若干启示。     

Population dynamics and life-cycle consumption

This paper presents a model where aggregate consumption depends on both the level of wealth and the age structure of population. The explicit consideration of an endogenous rate of time preference permits to analyze the important role of population ageing as a determinant of aggregate saving. Received: 23 October 2001/Accepted: 13 February 2002 I would like to thank an anonymous referee for his comments. Financial support from CNR and MURST is gratefully acknowledged. Responsible editor: Alessandro Cigno.     

论图书馆建设与学科建设

图书馆建设和学科建设是高校中一个不可分割的有机整体 ,二者互为表里 ,有着互相支持、互相促进、相辅相成的紧密关系。图书馆建设应服从于并服务于学科建设。     

双龙风景区非物质文化遗产分类和保护

非物质文化遗产又称无形文化遗产,被誉为历史文化的“活化石”和“民族记忆的背影”。浙江省金华的双龙风景区青山绿水无限,溶洞奇险壮观,吸引了广大游客观光游玩,但游人在观赏奇异秀丽自然景色风光的同时,却忽视了在这些迷人的景观背后蕴藏着的无形文化遗产:悠久的历史景观文化,神秘的大仙崇拜文化,神奇美丽动人的神话传说等。对双龙风景区非物质文化的分类开发和保护成为了一件至关重要的事情。     

在动态变化中看汉语称谓系统

在大的文化背景下 ,汉语称谓系统处于新旧更替中 ,并呈现出特有的地域文化色彩。汉语称谓系统内部纷繁复杂的景象深深植根于古老的汉文化 ,作为言语交际过程的重要组成部分 ,也受到语境因素的制约     

基于企业生命周期的利益相关者分类及其实证研究

对利益相关者的分类是利益相关者管理的核心问题。界定中国企业的利益相关者,实证研究企业的利益相关者重要性随企业生命周期变化的规律,据此将利益相关者分为关键利益相关者、非关键利益相关者和边缘利益相关者三类,可为企业制定权变的利益相关者管理战略提供指导。     

论海洋体育的分类与开发

开展海洋体育运动具有重要意义,它是人类体育运动发展的一个新的方向.要对海洋体育的分类、特点和开发利用进行深入地研究.开展海洋体育项目竞赛,开设海洋体育课程并培养海洋体育人才,是当前开发海洋体育的重要举措,而培养海洋体育师资又是开发海洋体育的基础性工作.     

Testing hypotheses on coefficients of variation from a series of two-armed experiments

We consider the problem of testing hypotheses on the difference of the coefficients of variation from several two-armed experiments with normally distributed outcomes. In particular, we deal with testing the homogeneity of the difference of the coefficients of variation and testing the equality of the difference of the coefficients of variation to a specified value. The test statistics proposed are derived in a limiting one-way classification with fixed effects and heteroscedastic error variances, using results from analysis of variance. By way of simulation, the performance of these test statistics is compared for both testing problems considered.     

Monte carlo comparison of estimation methods for additive two-way tables

We considered the problem of estimating effects in the following linear model for data arranged in a two-way table: Response = Common effect + Row effect + Column effect + Residual. This work was occasioned by a project to analyse Federal Aviation Administration (FAA) data on daily temporal deviations from flight plans for commercial US flights, with rows and columns representing origin and destination airports, respectively. We conducted a large Monte Carlo study comparing the accuracy of three methods of estimation: classical least squares, median polish and least absolute deviations (LAD). The experiments included a wide spectrum of tables of different sizes and shapes, with different levels of non-linearity, noise variance, and percentages of empty cells and outliers. We based our comparison on the accuracy of the estimates and on computational speed. We identified factors that significantly affect accuracy and speed, and compared the methods based on their sensitivity to these factors. We concluded that there is no dominant method of estimation and identified conditions under which each method is most attractive.