走向"扁平化"的知识型城市

中国即将成为先进的知识经济大国的趋势,也为其他国家带来了发展机遇,、本文所研究的核心问题是,如果以知识经济发展为指导的管理政策作为工具,一个人口大国的发达与欠发达地区之间的不均衡是否能够以及如何能够“扁平化”。我们特别要关注的是正在发展中的知识社会是否能够缩窄知识鸿沟以及由此缩短整体的发展差距,“扁平化世界”的概念就是大家都在同一水平的起跑线上。我们选择以中国为例,是因为她悠久的历史和地缘政治的复杂性对其他发展中国家具有借鉴意义。不少学者们认为,是邓小平的改革开放政策改变了中国的落后面貌,但笔者却持相反观点,认为中国的兴衰成败,并不单纯地取决于国界的开放与否,而是取决于整个社会是否存在积极的学习态度以及可供借鉴学习的参照体．     

An easy method of constructing latin square designs balanced for the immediate residual and other order effects

Bradley (1958) proposed a very simple procedure for constructing latin square designs to counterbalance the immediate sequential effect for an even number of treatments. When the number of treatments is odd, balance in a single latin square is not possible. In the present note we have developed an analogous method for the construction of such designs which may be used for an even or odd number of treatments. A proof has also been offered to assure the general validity of the procedure.     

The Community Readiness Survey. Development and initial validation

This article reports on the development and evaluation of a mail survey measuring population attitudes toward substance use of potential receptivity of communities to different prevention efforts. The Community Readiness Survey was designed through a series of prevention practitioner and consultant meetings and focus groups. Psychometric evaluation revealed five distinct domains: perception of alcohol, tobacco, or other drug problem; support for prevention; permissive attitudes toward teen substance use; perception of adolescent access; and perception of community commitment. Evidence of construct validity was demonstrated by the small but significant relationships between selected scale scores and community readiness as evaluated by prevention planners.     

Joint confidence regions in the multivariate calibration problem

Consider a vector valued response variable related to a vector valued explanatory variable through a normal multivariate linear model. The multivariate calibration problem deals with statistical inference on unknown values of the explanatory variable. The problem addressed is the construction of joint confidence regions for several unknown values of the explanatory variable. The problem is investigated when the variance covariance matrix is a scalar multiple of the identity matrix and also when it is a completely unknown positive definite matrix. The problem is solved in only two cases: (i) the response and explanatory variables have the same dimensions, and (ii) the explanatory variable is a scalar. In the former case, exact joint confidence regions are derived based on a natural pivot statistic. In the latter case, the joint confidence regions are only conservative. Computational aspects and the practical implementation of the confidence regions are discussed and illustrated using an example.     

“Crowding in” or “crowding out”? An examination of the impact of the welfare state on generalized social trust

Generalized social trust is correlated with increased levels of civic engagement, lower crime rates, and greater economic growth. Many scholars believe that equality provides the conditions in which social trust can flourish. Thus, welfare programs might be one way to generate social trust. However, the relationship between social spending and trust is contested: Some argue it is negative, while others argue it is positive. This study examined the effects of total social welfare expenditures on social trust in 18 OECD countries, holding constant individual characteristics, country characteristics, and country and year effects. Fixed effects analyses indicate that every additional percent of gross domestic product spent on social expenditures 5 years prior is associated with a 4.7 percent increased likelihood that respondents of that country will endorse trusting other people. Further testing for reverse causality found no significant association between trust and later social expenditures, supporting the claim that expenditures drive trust instead of the reverse.     

Simultaneous estimation of ordered parameters

The problem of estimating ordered parameters is encountered in biological, agricultural, reliability and various other experiments. Consider two populations with densities f₁(x₁-ω₁) and f₂(x₂-ω₂) where ω₁#ω₂. The estimation of ω₁,ω₂) with the loss function, the sum of squared errors, is studied. when f_i is the f_i(,_i,,_i ²) density with ,_i known, i=1,2; we obtain a class of minimax estimators. When ω₁ #ω₂ we show some of these estimators are improved by the maximum likelihood estimator. For a general f_i we give sufficient conditions for the minimaxity of the analogue of the Pitman estimator.     

The distribution of the product of two independent generalized trapezoidal random variables

ABSTRACT

In this article, we derive the probability density function (pdf) of the product of two independent generalized trapezoidal random variables having different supports, in closed form, by considering all possible cases. We also show that the results for the product of two triangular and uniform random variables follow as special cases of our main result. As an illustration, we obtain pdf of product for a suitably constrained set of parameters and plot some graphs using MATLAB, which express variation in pdf with change in different parameters of the generalized trapezoidal distribution.     

Estimation of population mean on the most recent occasion under non response in h-occasion successive sampling using several auxiliary variables

In this article, general estimation procedures of population mean on the most recent occasion in the presence of non response on all occasions have been deduced in h-occasion successive sampling. In the estimation procedures, regression type estimators have been suggested with the aid of stable and mutually independent several auxiliary variables which are readily available only on the most recent occasion. To check the efficiency of the proposed estimators, they have been compared with similar estimator in absence of non response. Properties of the suggested estimation procedures have been studied and their empirical studies are carried out to validate the theoretical results. Suitable recommendations have been made.