广西西江流域工业化发展分析

目前广西西江流域工业化发展处于工业化中前期阶段。西江流域工业化发展有其优势和劣势。充分发挥政府的作用、加快基础设施建设、加快工业园区建设和促进民营工业的发展,是推进西江流域工业化快速发展的战略路径。     

鹤峰屏山土家族招赘婚姻的延续与变迁

通过鹤峰屏山土家族的招赘婚姻从改土归流以前到现代社会变迁历程的描述,认为招赘婚姻里发生变迁的只是一些形式,如婚礼仪式、通婚圈等,其传统核心的东西基本保留下来：招赘婚姻一直在屏山村民生活中发挥着重要作用,人们对招赘婚姻的观念与态度一直没有改变。招赘婚姻的延续是对社区生态环境、经济状况和政治环境适应的结果,它维持了社区的社会秩序和整合。     

傈僳族新创文字研究综述

新傈僳文自1957年创制试行,已历经半个世纪。有关傈僳文的研究积累了翔实的调查资料,并在此基础上取得了可观的研究成果,但尚存在一些不足之处:第一,视野狭窄,方法单一。当前的研究应从多学科的角度,运用多种、多重研究方法,力求在研究中有所创新和突破。第二,描述性研究较多,解释性研究较少。今后的新傈僳文研究应多关注傈僳族文化传承与发展、语言文字多样性保护、文化价值及现实意义等问题。第三,回顾性研究多,前瞻性研究少。学界应对新傈僳文的使用现状进行深层次的前瞻性研究,提出适合现代社会发展规律的、具有应用意义和可操作性的应对策略。     

新课程标准下的音乐教师从教能力结构探析

本文以新的课程标准为基础,并以全新的理念、全新的思维、全新的方式对音乐教师的从教能力进行全新的解读。     

不动产善意取得制度与公示公信制度的协调与适用

随着善意取得制度的发展,不动产善意取得制度在大陆法系国家陆续被确立,我国也在新的物权法中规定出不动产善意取得制度.但是我国存在着严格的公示公信制度,这个制度可以最大限度的解决不动产的纠纷,在这种情况下,不动产善意取得制度的存在必要性就受到质疑.文章通过对这两个制度的分析比较,指出不动产善意取得制度存在的必要性以及适用情况.     

A two phases queueing system with Bernoulli vacation schedule under multiple vacation policy

This paper deals with a single server Poisson arrival queue with two phases of heterogeneous service along with a Bernoulli schedule vacation model, where after two successive phases service the server either goes for a vacation with probability p (0≤p≤1) or may continue to serve the next unit, if any, with probability q(=1−p). Further the concept of multiple vacation policy is also introduced here. We obtained the queue size distributions at a departure epoch and at a random epoch, Laplace Stieltjes Transform of the waiting time distribution and busy period distribution along with some mean performance measures. Finally we discuss some statistical inference related issues.     

资源枯竭地区经济转型评价体系研究

 基于实现资源枯竭地区经济转型的根本路径在于促进其经济发展方式从资源依赖型向创新驱动型转变的认识,本文构建了一套以反映发展目标、模式、资源、资本、技术、制度、以及市场机制创新为核心内容的资源枯竭地区经济转型评价指标体系,确定了相应的评价标准,并通过典型地区经济转型进程的实证分析,揭示了资源枯竭地区经济转型的突出制约因素和主要着力点。     

2005年国际收支平衡表经常项目简析

国际收支平衡表不但是对一国对外经济交往的系统记录,也是决定政府进行宏观调控的重要依据之一。而对其主要项目中的经常项目进行分析则更具重要意义。文章对2005年国际收支平衡表中的经常项目进行了细致的分析,从中发现了新的变化,并提出了应该重视的新问题。     

Detecting homogeneous segments in DNA sequences by using hidden Markov models

In recent years there has been a rapid growth in the amount of DNA being sequenced and in its availability through genetic databases. Statistical techniques which identify structure within these sequences can be of considerable assistance to molecular biologists particularly when they incorporate the discrete nature of changes caused by evolutionary processes. This paper focuses on the detection of homogeneous segments within heterogeneous DNA sequences. In particular, we study an intron from the chimpanzee α-fetoprotein gene; this protein plays an important role in the embryonic development of mammals. We present a Bayesian solution to this segmentation problem using a hidden Markov model implemented by Markov chain Monte Carlo methods. We consider the important practical problem of specifying informative prior knowledge about sequences of this type. Two Gibbs sampling algorithms are contrasted and the sensitivity of the analysis to the prior specification is investigated. Model selection and possible ways to overcome the label switching problem are also addressed. Our analysis of intron 7 identifies three distinct homogeneous segment types, two of which occur in more than one region, and one of which is reversible.     

The Semiparametric Normal Variance-Mean Mixture Model

We study the normal variance-mean mixture model from a semiparametric point of view, i.e. we let the mixing distribution belong to a non-parametric family. The main results are consistency of the non-parametric maximum likelihood estimator and construction of an asymptotically normal and efficient estimator for the Euclidian part of the parameter. We study the model according to the theory outlined in the monograph by Bickel et al. (1993) and apply a general result (based on the theory of empirical processes) for semiparametric models from van der Vaart (1996) to prove asymptotic normality and efficiency of the proposed estimator.