国际标准产业分类体系的建筑业分类演化及启示

国际标准产业分类体系是目前国际上最有影响、最有权威的产业分类体系.深入了解国际标准产业分类体系中建筑业分类演化,对正确收集、处理和测算建筑业的指标以及国际间数据比较至关重要.文章首先详细地剖析了国际标准产业分类体系的建筑业的分类演化,然后依据国际标准产业分类体系的最新变化,结合我国建筑业现状,为我国国民经济行业分类中建筑业的修改和调整提供改进意见和建议.     

国际标准产业分类体系的信息和通讯业分类演化及启示

信息和通讯业是最近一次国际标准产业分类体系修改中新增加的五个大类之一。文章首先详细地剖析了国际标准产业分类体系中信息和通讯业的分类及其演化;然后依据国际标准产业分类体系的最新变化,结合我国产业分类体系现状,提出了我国产业分类体系的改进建议。     

国际标准产业分类体系的教育业分类演化及启示

文章首先详细地剖析了国际标准产业分类体系的教育业的分类演化:然后依据国际标准产业分类体系的最新变化,结合我国教育业现状,提出了我国产业分类体系的教育业分类的改进建议.     

国际标准产业分类体系的食宿服务业分类演化及启示

国际标准产业分类体系是目前国际上最有影响、最有权威的产业分类体系之一。深入了解国际标准产业分类体系中食宿服务业的分类演化,对正确收集、处理和测算我国食宿服务业的指标以及国际间数据比较至关重要。文章首先详细地剖析了国际标准产业分类体系的食宿服务业的分类演化;然后依据国际标准产业分类体系的最新变化,结合我国食宿服务业现状,为我国国民经济行业分类中食宿服务业的修改和调整提出了改进建议。     

国际标准产业分类体系的金融业分类演化及启示

国际标准产业分类体系是目前国际上最有影响、最有权威的产业分类体系.深入了解国际标准产业分类体系中金融业分类演化,对正确收集、处理和测算金融业的指标以及国际闻数据比较至关重要.文章首先详细地剖析了国际标准产业分类体系的金融业的分类演化;然后依据国际标准产业分类体系的最新变化,结合我国金融业现状,为我国国民经济行业分类中金融业的修改和调整提出了改进意见和建议.     

国际标准产业分类体系的采矿和采石业分类演化及启示

 国际标准产业分类体系是目前国际上最有影响、最有权威的产业分类体系,深入了解国际标准产业分类体系中采矿和采石业分类演化,对正确收集、处理和测算采矿和采石业的指标以及国际间数据比较至关重要。本文首先详细地剖析了国际标准产业分类体系的采矿和采石业的分类演化,然后依据国际标准产业分类体系的最新变化,结合我国采矿和采石业现状,为我国国民经济行业分类中采矿和采石业的修改和调整提供改进建议。     

国际标准产业分类体系中专业、科学和技术活动的分类演化及启示

本文首先详细地剖析了国际标准产业分类体系中专业、科学和技术活动的分类及其演化，然后依据国际标准产业分类体系的最新变化，结合我国产业分类体系现状，提出了我国产业分类体系的改进建议。     

国际标准产业分类体系的演化及其启示

文章简要介绍了国际标准产业分类体系的演化,详细描述了ISIC 4.0的建立和使用原则及其最新变化,并结合我国产业分类体系现状,提出了我国产业分类体系的改进建议。     

国际标准产业分类中关于卫生和社会工作活动分类的修订及启示

文章首先对《国际标准产业分类》概况进行介绍,分析和比较ISIC3.1和ISIC4.0关于卫生和社会工作活动的分类;然后依据国际标准产业分类体系ISIC4.0的最新变化提出完善我国《国民经济行业分类》关于卫生和社会工作活动的门类、内涵及活动项目分类标准的建议。     

国际标准产业分类体系的演化

文章在简要介绍国际标准产业分类体系的诞生过程的基础上,阐述了国际标准产业分类体系分类原则和分类符号系统的演化过程及其具体的变化。     

批发和零售业在ISIC4.0和NACE2.0中的分类比较研究及启示

 ISIC是世界上对经济活动进行分类的最成熟、最权威、最有影响力的国际标准,而NACE派生于国际标准产业分类体系,是派生型产业分类体系的典型代表。深入了解最新版ISIC4.0和NACE2.0的批发和零售业分类的差别,对我国国民经济行业分类的批发和零售业依据ISIC4.0进行修改和调整具有重要的借鉴价值,同时对正确收集、处理和测算批发和零售业的经济指标以及国际间数据比较至关重要。故本文对上述两大产业分类体系进行比较研究,揭示批发和零售业在上述产业体系中的差别,提出我国国民经济行业分类体系的批发和零售业分类的改进建议。     

美国产业分类体系的演化

文章首先分别简要介绍了美国《标准产业分类体系》和《北美产业分类体系》,然后分析了1997年版美国北美产业分类体系与1987年版美国标准产业分类体系之间的不同之处,最后详细介绍了美国2002版北美产业分类体系的具体变化。     

欧盟产业分类体系的演化

文章简要介绍了欧盟产业分类体系产生的基础,阐述了它产生及分类符号系统的演化过程与具体变化,同时分析了该体系与其他产业体系的关系。     

中国环保产业定义与统计分类

本文通过梳理国内外关于环保产业的定义,明确了基于我国现实的环保产业概念及范围。并且,通过考察我国经常统计、详细的122部门投入产出表以及《国民经济行业分类》,对其中属于环保产业范围的经济活动予以识别,以此来展示我国环保产业进行统一核算的途径和方法。     

Soft Classification Trees

An extension of soft classification trees to multinomial outcomes is presented. Estimates of the method's predictive accuracy, as well as average tree size and tree depths, are systematically compared to those of the conventional Classification and Regression Tree (CART) approach by the means of simulations. A similar comparison is performed on real datasets. Results point to an advantage in favor of the soft tree.     

Classification into two normal populations with a common mean and unequal variances

The problem of classification into two univariate normal populations with a common mean is considered. Several classification rules are proposed based on efficient estimators of the common mean. Detailed numerical comparisons of probabilities of misclassifications using these rules have been carried out. It is shown that the classification rule based on the Graybill-Deal estimator of the common mean performs the best. Classification rules are also proposed for the case when variances are assumed to be ordered. Comparison of these rules with the rule based on the Graybill-Deal estimator has been done with respect to individual probabilities of misclassification.     

Resampling-based Classification Using Depth for Functional Curves

The depths, which have been used to detect outliers or to extract a representative subset, can be applied to classification. We propose a resampling-based classification method based on the fact that resampling techniques yield a consistent estimator of the distribution of a statistic. The performance of this method was evaluated with eight contaminated models in terms of Correct Classification Rates (CCRs), and the results were compared with other known methods. The proposed method consistently showed higher average CCRs and 4% higher CCR at the maximum compared to other methods. In addition, this method was applied to Berkeley data. The average CCRs were between 0.79 and 0.85.     

Classification Rules for Multivariate Repeated Measures Data with Equicorrelated Correlation Structure on Both Time and Spatial Repeated Measurements

We study the problem of classification for multivariate repeated measures data with structured correlations on both time and spatial repeated measurements. This is a very important problem in many biomedical as well as in engineering field. Classification rules as well as the algorithm to compute the maximum likelihood estimates of the required parameters are given.     

Classification of an observation into linear manifolds,their closed subsets and closed convex subsets

In this paper, we generalize the notion of classification of an observation (sample), into one of the given n populations to the case where some or all of the populations into which the new observation is to be classified may be new but related in a simple way to the given n populations. The discussion is in the frame-work of the given set of observations obeying the usual multivariate general linear hypothesis model. The set ofpopulations into which the new observation may be classified could be linear manifolds of the parameter space or their closed subsets or closed convex subsets or a combination of them or simply t subsets of the parameter space each of which has a finite number of elements. In the last case alikelihood ratio procedure can be obtained easily. Classification procedures given here are based on Mahalanobis distance. Bonferroni lower bound estimate of the probability of correctly classifying an observation is given for the case when the covariance matrix is known or is estimated from a large sample. A numerical example relating to the classification procedures suggested her is given.