石油亚砜PSO—Ⅱ与P_(204),P_(507)萃取稀土的研究

分别用P_(204),P_(507),PSO—Ⅱ单独萃取混合氯化稀土,得到了萃取稀土的最佳条件,并对P_(204)与PSO—Ⅱ、P_(507)与PSO—Ⅱ,协同萃取稀土元素进行了初步探讨,发现P_(204)与PSO—Ⅱ,P_(507)与PSO—Ⅱ两者在萃取混合氯化稀土的试验条件下,均无协同效应。     

住宅价格涨跌幅、波动非对称性与空置量关系的实证研究

采用门限ARCH模型研究了我国住宅价格涨跌幅、波动的非对称性与住宅空置量之间的动态关系,实证结论表明:我国住宅空置量与住宅价格涨跌和住宅价格波动呈负相关关系;住宅价格波动具有非对称性,低住宅空置时住宅价格波动大于高空置时的住宅价格波动;同时住宅价格波动具波动聚集性;政府及时披露住宅空置信息和合理调控住宅空置水平,有利于住宅市场的稳定发展。     

日本对中亚外交的历史考察与现实分析

从战略上讲,日本对中亚的外交演变经历了以经济援助为主到目前政治对话为重心的过渡,经济援助政策虽然具有很大的影响力,但基本上已经从属于其整体的地区外交战略,其目的已经超出了“能源外交”和“贸易外交”等经济利益的范畴,寻求政治大国的地位和维护自身地缘政治安全等国家战略利益日趋居于主导地位。     

A multivariate zero-inflated binomial model for the analysis of correlated proportional data

In this paper, a new multivariate zero-inflated binomial (MZIB) distribution is proposed to analyse the correlated proportional data with excessive zeros. The distributional properties of purposed model are studied. The Fisher scoring algorithm and EM algorithm are given for the computation of estimates of parameters in the proposed MZIB model with/without covariates. The score tests and the likelihood ratio tests are derived for assessing both the zero-inflation and the equality of multiple binomial probabilities in correlated proportional data. A limited simulation study is performed to evaluate the performance of derived EM algorithms for the estimation of parameters in the model with/without covariates and to compare the nominal levels and powers of both score tests and likelihood ratio tests. The whitefly data is used to illustrate the proposed methodologies.     

产权制度与两种含义所有制的关系——兼论所有制理论创新的理论依据和必要性

所有制分为狭义和广义,狭义所有制是生产资料占有方式,广义所有制是生产关系总和.产权制度是各经济主体之间权、责、利关系的设定及其处理规则的制度安排.三者之间既有区别又有联系.区别主要表现在:内涵不同;在经济体中的地位和功能不同;变化的结果不同.联系在于:三者共同构成一个制度体系;现实的所有制关系和经济成分需要产权制度来规范和实现.三者的辩证统一关系说明所有制理论中不能没有产权理论.中国经济改革与发展必须由富含产权理论的所有制理论作指导,但传统所有制理论中产权理论不足.我们必须在充分挖掘马克思所有制理论中的产权理论基础上,批判地吸收西方产权理论的优秀成果,丰富、创新传统所有制理论,使马克思主义所有制理论更具指导性.     

甘肃省新型工业化发展的有效模式：集群化产业园

甘肃省由于产业集群培育滞缓,园区优势发挥不足,造成产业结构层次低、产业关联度不高,整体市场竞争能力还不够高.本论文经分析研究认为集群化产业园是甘肃省新型工业化发展的有效模式.     

一类有理分式的积分

本文介绍了一类有理分式的积分,并得到了一组织分公式。     

Complete convergence for arrays of rowwise negatively superadditive-dependent random variables and its applications

In this paper, the Rosenthal-type maximal inequalities and Kolmogorov-type exponential inequality for negatively superadditive-dependent (NSD) random variables are presented. By using these inequalities, we study the complete convergence for arrays of rowwise NSD random variables. As applications, the Baum–Katz-type result for arrays of rowwise NSD random variables and the complete consistency for the estimator of nonparametric regression model based on NSD errors are obtained. Our results extend and improve the corresponding ones of Chen et al. [On complete convergence for arrays of rowwise negatively associated random variables. Theory Probab Appl. 2007;52(2):393–397] for arrays of rowwise negatively associated random variables to the case of arrays of rowwise NSD random variables.     

A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior

In this article, an efficient Bayesian meta-modeling approach is proposed for Gaussian stochastic process models in computer experiments. Different prior densities and particularly, a non informative hyper prior have been employed on the parameters involved in the correlation matrix. And the estimation of related parameters is obtained by the expectation-maximization algorithm. Compared with the recent work of Li and Sudjianto (2005 Li , R. , Sudjianto , A. ( 2005 ). Analysis of computer experiments using penalized likelihood in Kriging models . Technometrics 47 : 111 – 120 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]), the proposed approach is not only of higher prediction accuracy but also of lower computational cost, due to the utilization of the non informative prior and the absence of tuning parameters. Experimental results demonstrate that our approach yields state-of-the-art performance.     

Ranges of Measures of Association for Familial Binary Variables

Familial binary data occur in a wide range of scientific investigations. Numerous measures of association have been proposed in the literature for the study of intra-family dependence of the binary variables. These measures include correlations, odd ratios, kappa statistics, and relative risks. We study the permissible ranges of these measures of association such that a joint distribution exists for the familial binary variables. Our results are useful for developing efficient estimation methods for the measures of association.