乡村女性自我的再认识:一项来自恩施土家族双龙村的研究

传统女性主义者认为,女性的自我是无主体性的“他性”存在。现代女性主义的批判指出,女性自我是有主体的,但这种主体本质上是女性多种生存“策略”所体现的理性主体。本文基于对恩施双龙村女性的田野调查研究,提出了“女性自我是情感主体的自我”的观点,这种情感主体的自我具有包容性和排他性双重特征。情感主体的意义表现为两个方面：一是女性在对相关他人命运的关心及对他人无功利的或弱功利的付出中,为乡村社会的团结与整合做出了自己特殊的贡献;二是女性在感性的率性行为中,突破了既有的习俗与规则,为乡村社会的变迁做出了贡献。     

货币反替代视角下的M2/GDP畸高研究

改革开放以来,中国的M2/GDP不断攀升,已成为宏观经济领域的一个难解之谜.即使在流动性过剩、通货膨胀升高、经济持续过热的2007年,M2/GDP仍然高达1.6166,这就与以往学者研究结论出现了矛盾.基于货币反替代视角对中国M2/GDP畸高进行分析及实证检验,研究结果表明:过高的外汇储备以及在现有的外汇管理体制下,我国冲销机制不力是导致M2/GDP升高的主要原因.因此必须对现行的外汇管理体制加以改革,有效降低M2/GDP水平,央行的信用创造能力和银行体系的支付能力才能得以改善,宏观经济和资本市场才能进一步稳定健康发展.     

宪法视野下的新农村建设

社会主义新农村建设是新时期解决"三农"问题的重大举措。从宪法层面看,建设新农村的根本是解决农民问题,是如何维护和实现农民的合法权利和利益问题。力图从这一视角阐述如何真正确立农民的平等地位;切实完善农村的社会保障;努力实现村民民主自治;加强新农村文化建设,以期有助于我国社会主义新农村建设。     

异构P2P网络的分布式查询协议

从P2P网络节点的异构性出发,考虑了节点物理位置,提出了一种分层的混合路由查询协议。该协议利用时间戳在局部实现了节点逻辑位置和物理位置的统一,并引入超级节点解决了节点负载失衡和性能瓶颈的问题。在仿真平台P2PSim上的性能测试表明,该协议在大规模P2P网络中优于Kademlia、Chord、Tapestry。     

电子商务与企业组织创新

针对电子商务的内涵 ,探讨了其与企业组织创新的密切关系 ,提出开展电子商务将形成企业组织创新的新动力 ,并在此基础上讨论了在电子商务条件下企业组织的创新方向     

Likelihood ratio ordering of order statistics,mixtures and systems

Let X=(_X1,_X2,…,_Xn)$\mathit{X}=(X_1,X_2,\dots ,X_n)$ be an exchangeable random vector, and denote _X1:i=min{_X1,_X2,…,_Xi}$X_{1:i}=\min \{X_1,X_2,\dots ,X_i\}$ and _Xi:i=max{_X1,_X2,…,_Xi}$X_{i:i}=\max \{X_1,X_2,\dots ,X_i\}$, 1?i?n$1?i?n$. These order statistics represent the lifetimes of the series and the parallel systems, respectively, with component lifetimes _Xi$X_i$. In this paper we obtain conditions under which _X1:i$X_{1:i}$ (or _Xi:i$X_{i:i}$) decreases (increases) in i in the likelihood ratio (lr) order. An even more general result involving general (that is, not necessary exchangeable) random vectors is also derived for general series (or parallel) systems. We show that the series (parallel) systems are not necessarily lr-ordered even if the components are independent.     

Asymptotic results in canonical discriminant analysis when the dimension is large compared to the sample size

This paper deals with the distributions of test statistics for the number of useful discriminant functions and the characteristic roots in canonical discriminant analysis. These asymptotic distributions have been extensively studied when the number p   of variables is fixed, the number q+1$q+1$ of groups is fixed, and the sample size N tends to infinity. However, these approximations become increasingly inaccurate as the value of p increases for a fixed value of N. On the other hand, we encounter to analyze high-dimensional data such that p is large compared to n. The purpose of the present paper is to derive asymptotic distributions of these statistics in a high-dimensional framework such that q   is fixed, p→∞$p\to \infty$, m=n-p+q→∞$m=n-p+q\to \infty$, and p/n→c∈(0,1)$p/n\to c\in (0,1)$, where n=N-q-1$n=N-q-1$. Numerical simulation revealed that our new asymptotic approximations are more accurate than the classical asymptotic approximations in a considerably wide range of (n,p,q)$(n,p,q)$.     

Ordered ranked set samples and applications to inference

Ranked set sampling (RSS) was first proposed by McIntyre [1952. A method for unbiased selective sampling, using ranked sets. Australian J. Agricultural Res. 3, 385–390] as an effective way to estimate the unknown population mean. Chuiv and Sinha [1998. On some aspects of ranked set sampling in parametric estimation. In: Balakrishnan, N., Rao, C.R. (Eds.), Handbook of Statistics, vol. 17. Elsevier, Amsterdam, pp. 337–377] and Chen et al. [2004. Ranked Set Sampling—Theory and Application. Lecture Notes in Statistics, vol. 176. Springer, New York] have provided excellent surveys of RSS and various inferential results based on RSS. In this paper, we use the idea of order statistics from independent and non-identically distributed (INID) random variables to propose ordered ranked set sampling (ORSS) and then develop optimal linear inference based on ORSS. We determine the best linear unbiased estimators based on ORSS (BLUE-ORSS) and show that they are more efficient than BLUE-RSS for the two-parameter exponential, normal and logistic distributions. Although this is not the case for the one-parameter exponential distribution, the relative efficiency of the BLUE-ORSS (to BLUE-RSS) is very close to 1. Furthermore, we compare both BLUE-ORSS and BLUE-RSS with the BLUE based on order statistics from a simple random sample (BLUE-OS). We show that BLUE-ORSS is uniformly better than BLUE-OS, while BLUE-RSS is not as efficient as BLUE-OS for small sample sizes (n<5$n<5$).     

A note on the queue with a random set-up time under a restricted admissibility policy with a Bernoulli vacation schedule

This paper deals with the queue size distribution of an M^x/G/1 queue with a random set-up time and with a Bernoulli vacation schedule under a restricted admissibility policy. This generalizes the model studied by Madan and Choudhury [Sankhyá 66 (2004) 175–193].