品牌形象综合测评模型及其应用

品牌形象是消费者对品牌的总体感知和看法 ,是品牌资产的关键驱动要素。进行品牌形象测评 ,有助于企业正确评价以往品牌营销努力产生的成效 ,为进一步塑造理想的品牌形象提供决策依据。品牌识别是企业试图达到的品牌的预期状态 ,是品牌形象建设的基准。从品牌识别系统出发建立品牌测评模型和指标体系 ,有利于充分揭示品牌形象的丰富内涵 ,全面、系统地反映品牌形象的具体特征     

Nonparametrie recursive estimator for mean residual life and vitality function under dependence conditions

In this paper, we develop a nonparametrie recursive estimator for the vitality and mena residual life function, based on kernel density estimators under mixing dependence conditions. The consistency and asymptotic normality of the estimator are established, under suitable regularity conditions. It is also shown that the Integrated Mean Squared Error converges to zero. The paper is concluyed with some simulation results.     

Nonparametric Estimation Methods of Integrated Multivariate Volatilities

Estimation of integrated multivariate volatilities of an Itô process is an interesting and important issue in finance, for example, in order to evaluate portfolios. New non-parametric estimators have been recently proposed by Malliavin and Mancino (2002 Malliavin , P. , Mancino , M. ( 2002 ). Fourier series method for measurement of multivariate volatilities . Finance and Stochastics 6 : 49 – 61 .[Crossref], [Web of Science ®] , [Google Scholar]) and Hayashi and Yoshida (2005a Hayashi , T. , Yoshida , N. (2005a). On covariance estimation of nonsynchronously observed diffusion processes. Bernoulli 11(2):359–379.[Crossref], [Web of Science ®] , [Google Scholar]) as alternative methods to classical realized quadratic covariation. The purpose of this article is to compare these alternative estimators both theoretically and empirically, when high frequency data is available. We found that the Hayashi–Yoshida estimator performs the best among the alternatives in view of the bias and the MSE. The other estimators are shown to have possibly heavy bias mostly toward the origin. We also applied these estimators to Japanese Government Bond futures to obtain the results consistent with our simulation.     

Testing for the Null Hypothesis of Cointegration with a Structural Break

In this paper we propose residual-based tests for the null hypothesis of cointegration with a structural break against the alternative of no cointegration. The Lagrange Multiplier (LM) test is proposed and its limiting distribution is obtained for the case in which the timing of a structural break is known. Then the test statistic is extended to deal with a structural break of unknown timing. The test statistic, a plug-in version of the test statistic for known timing, replaces the true break point by the estimated one. We show the limiting properties of the test statistic under the null as well as the alternative. Critical values are calculated for the tests by simulation methods. Finite-sample simulations show that the empirical size of the test is close to the nominal one unless the regression error is very persistent and that the test rejects the null when no cointegrating relationship with a structural break is present. We provide empirical examples based on the present-value model, the term structure model, and the money-output relationship model.     

Integrated Estimation of Functional-Coefficient Regression Models with Different Smoothing Variables

In this article, the functional-coefficient regression models with different smoothing variables in different coefficient functions are discussed. The integrated estimates of the coefficient functions are defined by marginal integration on the initial value obtained by local linear technique. Their asymptotical normalities are studied.     

Records Properties of Non Stationary Time Series

This article proposes an asymptotic expansion for the Studentized linear discriminant function using two-step monotone missing samples under multivariate normality. The asymptotic expansions related to discriminant function have been obtained for complete data under multivariate normality. The result derived by Anderson (1973 Anderson , T. W. ( 1973 ). An asymptotic expansion of the distribution of the Studentized classification statistic W . The Annals of Statistics 1 : 964 – 972 .[Crossref], [Web of Science ®] , [Google Scholar]) plays an important role in deciding the cut-off point that controls the probabilities of misclassification. This article provides an extension of the result derived by Anderson (1973 Anderson , T. W. ( 1973 ). An asymptotic expansion of the distribution of the Studentized classification statistic W . The Annals of Statistics 1 : 964 – 972 .[Crossref], [Web of Science ®] , [Google Scholar]) in the case of two-step monotone missing samples under multivariate normality. Finally, numerical evaluations by Monte Carlo simulations were also presented.     

Correlates of Treatment Retention Among Persons with Serious Mental Illness Receiving Integrated Care in a Community Mental Health Setting

ABSTRACT

Knowledge about methods to retain community mental health (CMH) clients in integrated primary and behavioral health care (PBHC) programs is needed to address longstanding health disparities. A preexisting data set that contained the clinical records of 446 PBHC program participants was used to examine whether baseline sociodemographic, health, and psychosocial characteristics predicted retention in care at 6 months post-enrollment. Results indicated that less than half of PBHC participants (43.7%) were retained in care, and approximately 17% of the variance in retention was explained by the inclusion of seven predictors in the model (overall health, medications, laboratory data, primary care provider, disorder type, transportation, and living arrangement). Clients with thought disorders were almost twice as likely as those with mood disorders to be retained in care, and greater frequency of prescribed medications also increased the likelihood of treatment continuation (ORs = 1.99 and 1.20, respectively). Future research should identify factors that improve retention in integrated PBHC programs overall, and among persons with mood disorders, in particular.     

流动儿童融入城市教育的社会支持研究

文章对当前流动儿童融入城市教育的研究现状及存在问题进行了理性分析,指出完善流动儿童融入城市教育的必要性与可行性。最后,围绕政府、学校、社会、家庭和个体五方面的主体支持,借助社会工作的具体方法,提出了构建完善的流动儿童融入城市教育的社会支持体系。     

电成像测井仪器中ADC-BIST测试方法研究及实现

模拟/数字转换器(ADC)是构成混合信号电路系统的基本器件。针对ADC测试中存在的问题,该文提出了一种新颖的使用斜坡信号作为测试激励的ADC内建自测试输出分析方法,相对于直方图分析方法,具有更短的测试时间,并且硬件资源开销较小。该方法除了可以测试ADC的差分非线性和积分非线性等静态参数,还可检测ADC的漏码特性。该文给出了两种完整的ADC内建自测试实现结构,可用于不同配置的混合信号电路系统。实验结果证明了所提出方法的有效性。     

Bayesian regression under combinations of constraints

A Bayesian method for regression under several types of constraints is proposed. The constraints can be range-restricted and include shape restrictions, constraints on the value of the regression function, smoothness conditions and combinations of these types of constraints. The support of the prior distribution is included in the set of piecewise linear functions. It is shown that the proposed prior can be arbitrarily close to the distribution induced by the addition of a polynomial plus an (m−1)-fold integrated Brownian motion. Hence, despite its piecewise linearity, the regression function behaves (approximately) like an m−1 times continuously differentiable random function. Furthermore, thanks to the piecewise linear property, many combinations of constraints can easily be considered. The regression function is estimated by the posterior mode computed by a simulated annealing algorithm. The constraints on the shape and the values of the regression function are taken into account thanks to the proposal distribution, while the smoothness condition is handled by the acceptation step. Simulations from the posterior distribution are obtained by a Gibbs sampling algorithm.