Estimation of the mean of the exponential distribution using moving extremes ranked set sampling

Moving Extremes Ranked Set Sampling (MERSS) is a useful modification of Ranked Set Sampling (RSS). Unlike RSS, MERSS allows for an increase of set size without introducing too much ranking error. The method is considered parametrically under exponential distribution. Maximum likelihood estimator (MLE), and a modified MLE are considered and their properties are studied. The method is studied under both perfect and imperfect ranking (with error in ranking). It appears that these estimators can be real competitors to the MLE using the usual simple random sampling (SRS).     

On influence diagnostic in univariate elliptical linear regression models

We discuss in this paper the assessment of local influence in univariate elliptical linear regression models. This class includes all symmetric continuous distributions, such as normal, Student-t, Pearson VII, exponential power and logistic, among others. We derive the appropriate matrices for assessing the local influence on the parameter estimates and on predictions by considering as influence measures the likelihood displacement and a distance based on the Pearson residual. Two examples with real data are given for illustration.     

基于CIR模型的利率风险计量及实证——以我国国债市场为例

本文以我国国债市场为例,利用4种期限类型(7年期、8年期、10年期和20年期)的国债收益率样本数据对CIR模型进行实证分析得出,CIR模型较适宜于中国当前的金融市场实际;在实证研究中,考虑广义矩方法(GMM)可能存在某些问题,如效率不高。并且使用Nowman(1997)提出的最大似然估计法(MLE)对上述利率动态模型进行估计。在此基础上,构建了基于利率期限结构的久期模型并进行经验计算。     

A Comparison of the Performance of Phase II Simple Linear Profile Control Charts when Parameters are Estimated

The standard deviation of the average run length (SDARL) is an important performance metric in studying the performance of control charts with estimated in-control parameters. Only a few studies in the literature, however, have considered this measure when evaluating control chart performance. The current study aims at comparing the in-control performance of three phase II simple linear profile monitoring approaches; namely, those of Kang and Albin (2000), Kim et al. (2003), and Mahmoud et al. (2010). The comparison is performed under the assumption of estimated parameters using the SDARL metric. In general, the simulation results of the current study show that the method of Kim et al. (2003) has better overall statistical performance than the competing methods in terms of SDARL values. Some of the recommended approaches based solely on the usual average run length properties can have poor SDARL performance.     

Comparison of different estimation techniques for portfolio selection

The main problem in applying the mean-variance portfolio selection consists of the fact that the first two moments of the asset returns are unknown. In practice the optimal portfolio weights have to be estimated. This is usually done by replacing the moments by the classical unbiased sample estimators. We provide a comparison of the exact and the asymptotic distributions of the estimated portfolio weights as well as a sensitivity analysis to shifts in the moments of the asset returns. Furthermore we consider several types of shrinkage estimators for the moments. The corresponding estimators of the portfolio weights are compared with each other and with the portfolio weights based on the sample estimators of the moments. We show how the uncertainty about the portfolio weights can be introduced into the performance measurement of trading strategies. The methodology explains the bad out-of-sample performance of the classical Markowitz procedures.     

Likelihood Ratio Tests for Fixed Model Terms using Residual Maximum Likelihood

Likelihood ratio tests for fixed model terms are proposed for the analysis of linear mixed models when using residual maximum likelihood estimation. Bartlett-type adjustments, using an approximate decomposition of the data, are developed for the test statistics. A simulation study is used to compare properties of the test statistics proposed, with or without adjustment, with a Wald test. A proposed test statistic constructed by dropping fixed terms from the full fixed model is shown to give a better approximation to the asymptotic χ²-distribution than the Wald test for small data sets. Bartlett adjustment is shown to improve the χ²-approximation for the proposed tests substantially.     

Evaluation of trace evidence in the form of multivariate data

Summary.  The evaluation of measurements on characteristics of trace evidence found at a crime scene and on a suspect is an important part of forensic science. Five methods of assessment for the value of the evidence for multivariate data are described. Two are based on significance tests and three on the evaluation of likelihood ratios. The likelihood ratio which compares the probability of the measurements on the evidence assuming a common source for the crime scene and suspect evidence with the probability of the measurements on the evidence assuming different sources for the crime scene and suspect evidence is a well-documented measure of the value of the evidence. One of the likelihood ratio approaches transforms the data to a univariate projection based on the first principal component. The other two versions of the likelihood ratio for multivariate data account for correlation among the variables and for two levels of variation: that between sources and that within sources. One version assumes that between-source variability is modelled by a multivariate normal distribution; the other version models the variability with a multivariate kernel density estimate. Results are compared from the analysis of measurements on the elemental composition of glass.     

How can we Define the Concept of Long Memory? An Econometric Survey

In this paper we discuss different aspects of long memory behavior and applicable parametric models. We discuss the confusion that can arise when the empirical autocorrelation function decreases in a hyperbolic way.     

多元主体环境责任协同水平的地区差异与动态演进

基于中国30个省、自治区、直辖市（由于数据原因暂未包含西藏和港澳台地区）,构建多元主体环境责任协同水平指标体系,运用复合系统协同度模型,定量测算多元主体环境责任协同水平,并利用Dagum基尼系数和核密度估计方法分析其空间格局和动态演进过程。研究结果表明：中国各地多元主体环境责任协同水平整体偏低,呈现出逐年上升的趋势;环境责任协同水平空间分布的总体差异呈波动扩大趋势,地区间差距是总体差异的主要空间来源;环境责任协同水平的地区差异呈上升态势,东部、中部和西部三个地区的环境责任协同水平呈两极分化态势。     

感知实绩、顾客满意与顾客忠诚--微观层次上的审视

最近几十年来,对顾客满意-企业利润之间关系的认识不断深化,使得对顾客满意的研究得到了很大的发展.其中,顾客忠诚被认为是顾客满意影响企业利润的中介.然而,对于顾客满意影响顾客忠诚的微观过程,目前缺乏一致的结论.我们采用声誉、重复消费意向和推荐他人消费意向作为中间变量,对顾客感知实绩、满意和忠诚之间的因果联系进行了实证研究.结果表明,顾客满意同顾客忠诚之间并无直接的因果联系,因此,企业在制定市场份额策略时,不应该仅局限于提高感知实绩和顾客满意的范畴,而应从多个角度出发来提高顾客忠诚.