金融高频数据的最优抽样频率研究

首先综述了国内外对最优抽样频率的研究成果,并对各种方法的利弊进行了分析比较;然后结合目前我国股市金融高频数据的特点,提出了一种简便易行的最优抽样频率确定方法,并且基于"已实现"双幂次变差和赋权"已实现"波动估计量进行了研究,分别给出了2个估计量的偏差;最后用深证成指的高频数据进行了实证研究。     

Inference and optimal design of multiple constant-stress testing for generalized half-normal distribution under type-II progressive censoring

The generalized half-normal (GHN) distribution and progressive type-II censoring are considered in this article for studying some statistical inferences of constant-stress accelerated life testing. The EM algorithm is considered to calculate the maximum likelihood estimates. Fisher information matrix is formed depending on the missing information law and it is utilized for structuring the asymptomatic confidence intervals. Further, interval estimation is discussed through bootstrap intervals. The Tierney and Kadane method, importance sampling procedure and Metropolis-Hastings algorithm are utilized to compute Bayesian estimates. Furthermore, predictive estimates for censored data and the related prediction intervals are obtained. We consider three optimality criteria to find out the optimal stress level. A real data set is used to illustrate the importance of GHN distribution as an alternative lifetime model for well-known distributions. Finally, a simulation study is provided with discussion.     

Estimation of scale parameters in mixture distributions

Simultaneous estimation of scale parameters is considered in mixture distributions under squared-error loss. A general class of estimators is obtained which dominates the componentwise best multiple estimators and the moment estimators. As special cases, improved estimators are obtained for the multivariate t-distribution and the p-variate Lomax distribution.     

地方工科院校环境艺术设计专业课程体系的优化研究

根据社会的需求及环境艺术设计学科的特点，利用地方工科院校的优势，研究适合地方工科院校环境艺术设计专业方向人才培养的课程体系，优化教学内容及实践教学手段，通过实践探索，完善并总结出切实可行的人才培养方案。     

A Comparison of Three-level Orthogonal Arrays in the Presence of a Possible Correlation in Observations

When we want to compare two designs we usually assume the standard linear model with uncorrelated observations. In this paper we use the comparison method proposed by Ghosh & Shen (2006) to compare three level orthogonal arrays with 18, 27 and 36 runs under a possible presence of correlation in observations.     

Some theory and practical uses of trimmed L-moments

Trimmed L-moments, defined by Elamir and Seheult [2003. Trimmed L-moments. Comput. Statist. Data Anal. 43, 299–314], summarize the shape of probability distributions or data samples in a way that remains viable for heavy-tailed distributions, even those for which the mean may not exist. We derive some further theoretical results concerning trimmed L-moments: a relation with the expansion of the quantile function as a weighted sum of Jacobi polynomials; the bounds that must be satisfied by trimmed L-moments; recurrences between trimmed L-moments with different degrees of trimming; and the asymptotic distributions of sample estimators of trimmed L-moments. We also give examples of how trimmed L-moments can be used, analogously to L-moments, in the analysis of heavy-tailed data. Examples include identification of distributions using a trimmed L-moment ratio diagram, shape parameter estimation for the generalized Pareto distribution, and fitting generalized Pareto distributions to a heavy-tailed data sample of computer network traffic.     

和谐社会的经济学分析

和谐社会内涵丰富,各学科理解各不相同。从经济学视角来看,和谐社会是资源配置帕累托有效、收入和财富分配严格公平。通过完善市场经济制度等措施,可以构建和谐社会。     

多市场非均衡模型的调控规律研究

联系经济运行的现实不难发现，较之均衡状态，非均衡状态的出现在时间上更经常，在空间上更广泛，因此，要对非均衡程度予以重视，并加以调控。本文以供求相等作为理想状态，运用无约束最优控制理论推导出用一般函数形式表示的微观及宏观多市场的非均衡调控律，同时提出多种调控手段综合运用的一般原则。     

碳限额与交易政策下供应链低碳技术投资时机研究

在碳排放权限额与交易政策环境下, 碳排放权交易价格的不确定性对供应链企业选择低碳技术投资时机具有重要的影响。利用实物期权理论评估碳交易价格不确定情况下供应链低碳技术投资具有的期权价值, 建立供应链低碳技术投资时机决策的基本模型, 在此基础上, 构建考虑供应链内部合作的低碳技术投资博弈模型, 重点讨论供应链上下游企业在对投资时机与转移支付比例进行决策的均衡策略。基于上述模型, 通过数值算例进一步分析低碳技术投资时机的影响因素。研究结果表明:碳减排率水平、碳价波动率、企业间转移支付比例等因素会对低碳投资门槛产生影响, 供应链企业应综合评价碳价波动下低碳技术投资的期权价值, 合理选择投资时机与转移支付比例的最佳平衡点, 实现经济效益和低碳减排的双重目标, 并保障供应链协调与投资优化。     

Goodness-of-fit tests for Pareto distribution based on a characterization and their asymptotics

In this paper we present a new characterization of the Pareto distribution and consider goodness-of-fit tests based on it. We provide an integral and Kolmogorov–Smirnov-type statistics based on U-statistics and we calculate Bahadur efficiency for various alternatives. We find locally optimal alternatives for those tests. For small sample sizes, we compare the power of those tests with some common goodness-of-fit tests.