东西部煤炭企业资源整合的条件及障碍

西部企业和东部企业各有自身优势,将各自的优势整合为整体的优势,才能保证两地区的持久发展,实现两地区企业的共赢。东西部煤炭企业资源整合的关键是能导致区域利益的帕累托改进,东西部任意一个区域内的企业所得利益必须高于利益临界点,即必须是双赢或者多赢时,东西部煤炭企业的合作才可能发生。进一步分析了东西部煤炭企业资源整合在煤炭资产管理与经营现存体制、地方政策与制度,以及产权制度方面存在的障碍。     

一个考虑回收契约的两级供应链库存决策模型研究

讨论了一个季节性商品销售环境下的两级供应链库存决策模型,在分析传统回收契约模型的基础上,引入了一个特殊的回收契约,讨论不同契约参数下供应链成员的最优决策.研究表明,在该契约下通过合理的契约参数设计,供应链可以实现帕累托改进.用一个算例对结论进行了说明.     

基于多任务代理模型的管理者动态报酬契约设计

从Holmstrom提出的多任务代理模型出发,分析了企业管理者面临的纵向多任务特性,并将管理者投入划分为追求当期财务绩效和追求企业能力两个维度,以此为基础构建了基于多任务代理模型的管理者动态报酬契约。结果表明,基于多任务代理模型的管理者动态报酬契约相对于传统静态报酬契约具有明显的帕累托效率改进,有利于诱导管理者在不同维度上合理分配投入,避免短期效应的发生。最后,运用K集团公司的简单案例对其应用进行了简单分析。     

Bayesian approach for optimal PV system sizing under climate change

This paper proposes a novel statistical approach for optimally sizing a stand-alone photovoltaic (PV) system under climate change. Traditionally, the irradiation profile of a typical day or year is used to size PV systems. However, facing the global warming crisis as well as the fact that no two years would have the same weather condition for a single site, this often makes the traditional way failed in the extreme weather conditions. This paper presents a method to statistically model the trend of climate change year by year and put it into the sizing formula, so that the results are optimal for the current weather condition and confidential for the future as well. Hence, the suitable sizes for the PV array and the number of batteries are obtained by pure computation. This is different from the traditional simulation-based sizing curve method. An economic optimization procedure is also presented. In addition to the capital and maintenance costs, a penalty cost is introduced when service fails. A new statistic-based reliability index, the loss of power probability, in terms of threshold-based Extreme Value Theory is presented. This index indicates the upper bound reliability for applications and provides rich information for many extreme events. A technological and economic comparison among the traditional daily energy balance method, sizing curve method and the proposed approach is conducted to demonstrate the usefulness of the new method.     

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.     

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。     

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.     

Confidence regions for Pareto parameters from a single and independent samples

[Abstract] Based on a single and on two independent samples, joint confidence regions for parameters of Pareto distributions are proposed with minimum volume properties and without assigning the confidence level to dimensions. In the one-sample case, comparisons are made to former simultaneous confidence sets for Pareto parameters by means of simulation and a real data set. The two-sample case is studied in various set-ups and comprises simultaneous confidence regions for the shape parameters, the scale parameters, and higher-dimensional vectors of these parameters, where common shape and common scale models are also considered.     

Opportunities of the minimum Anderson–Darling estimator as a variant of the maximum likelihood method

We reveal that the minimum Anderson–Darling (MAD) estimator is a variant of the maximum likelihood method. Furthermore, it is shown that the MAD estimator offers excellent opportunities for parameter estimation if there is no explicit formulation for the distribution model. The computation time for the MAD estimator with approximated cumulative distribution function is much shorter than that of the classical maximum likelihood method with approximated probability density function. Additionally, we research the performance of the MAD estimator for the generalized Pareto distribution and demonstrate a further advantage of the MAD estimator with an issue of seismic hazard analysis.