公正、诚信、自由：市场经济的伦理

市场经济是建立在分工与产权分立基础之上的“自发扩展”的秩序,这一秩序内生出其伦理的基础:公正、诚信、自由。公正是排他性产权主体之间进行交易的前提,是市场秩序的基础;诚信是节约交易成本,提高市场机制本身的效率的内在需要;自由是市场运行的前提预设,是市场经济运行的政治保障。     

"生源危机"中的日本高等教育改革

日本人口年龄结构的变化给正在向大众化、普及化方向发展的日本高等教育带来了严峻的"生源危机".同时,也为其高等教育机构向社会开放、促进大众化和普及化目标的实现带来了机遇.对此,日本政府因势利导,采取了积极有效的应对举措.作者从考察日本人口年龄结构的变化趋势入手,对"生源危机"中的日本高等教育改革试做分析,进而较为全面地了解日本高等教育的现状与发展趋势.     

近代中国警察治安处罚职权的扩张——以《违警罚法》的立法演进为视角

伴随着近代中国警政的发展,以《违警罚法》为首的治安处罚法规的立法渐趋细密,主要呈现出三个方面的特点:重点监控流动人口;广泛援引治安章程予以处罚;制定诸多条款强行灌输国家观念。上述立法演变揭示了近代中国警察治安处罚职权的扩张,彰显了当权政府通过立法寻求权力扩张的努力。     

企业空间增长模式分析

本文通过对企业扩张过程、规律、模式的分析 ,旨在为我国大型国有企业的发展壮大提供理论指导     

On a statistic useful in dimensionality reduction in multivariable linear stochastic system

In this paper we study the sampling properties of a test statistic which has important applications in the area of linear stochastic control systems with multi-inputs and multi-outputs. The statistic is the ratio of a partial sum of the eigenvalues of a sample covariance matrix and its trace. It turns out that using a method due to Sugiura we may derive a useful approximation for its distribution up to and including terms of order l/n, where n denotes the appropriate size. Numerical illustrations using real data are given.     

Simultaneous bootstrap confidence bands in regression

We suggest pivotal methods for constructing simultaneous bootstrap confidence bands in regression. Most attention is given to the problem of simple linear regression, but our techniques admit trivial extension to other cases, including polynomial regression. The advantages of our bootstrap approach are twofold. Firstly, the bootstrap allows a very general distribution for the errors, and secondly, it admits a wide variety of shapes for the confidence band. In our technique the shape of each envelope of the band is determined by a general template, chosen by the experimenter, and bootstrap methods are used to select the scale of the template.     

The effects on the distributions of sample canonical correlations under nonnormality

In this paper, we study the effects of nonnormality on the distributions of sample canonical correlations when the population canonical correlations are simple. In order to achieve the purpose, we derive asymptotic expansion formulas for the distributions of a function of the canonical correlations as well as the individual canonical correlations under nonnormal populations. We particularly discuss the distribution of sample canonical correlations under the class of elliptical population. These expansions are given by using a perturbation method. Simulation results are also given.     

Ridge regression estimators in the linear regression models with non-spherical errors

The present paper considers a family of ordinary ridge regression estimators in the linear regression model when the disturbances covariance matrix depends upon a few unknown parameters. An asymptotic expansion for the distribution of the ridge regression estimator is developed and under the quadratic loss function its asymptotic risk is compared with that of the feasible GLS estimator.     

A test for bivariate symmetry based on the empirical distribution function

Hollander (1970) proposed a conditionally distribution-free test of bivariate symmetry based on the empirical distribution function. In this paper Hollander’s test statistic is examined In greater detail: in particular; its conditional asymptotic distribution is derived under the null hypothesis as well as under a sequence of local alternatives. Percentage points of the asymptotic distribution are presented; a power comparison between Hollander’s statistic and the likelihood ratio criterion in testing a variant of the sphericity hypothesis in multivariate analysis is made.     

A new special class of peb designs

A new class of partially efficiency-balanced designs is introduced from a practical point of view. This new design includes all equireplicated incomplete block designs available in literature as special cases. The fundamental properties of the design are clarified with relation to other block designs.