The Semiparametric Normal Variance-Mean Mixture Model

We study the normal variance-mean mixture model from a semiparametric point of view, i.e. we let the mixing distribution belong to a non-parametric family. The main results are consistency of the non-parametric maximum likelihood estimator and construction of an asymptotically normal and efficient estimator for the Euclidian part of the parameter. We study the model according to the theory outlined in the monograph by Bickel et al. (1993) and apply a general result (based on the theory of empirical processes) for semiparametric models from van der Vaart (1996) to prove asymptotic normality and efficiency of the proposed estimator.     

Product-limit Estimators and Cox Regression with Missing Censoring Information

The Kaplan–Meier estimator of a survival function requires that the censoring indicator is always observed. A method of survival function estimation is developed when the censoring indicators are missing completely at random (MCAR). The resulting estimator is a smooth functional of the Nelson–Aalen estimators of certain cumulative transition intensities. The asymptotic properties of this estimator are derived. A simulation study shows that the proposed estimator has greater efficiency than competing MCAR-based estimators. The approach is extended to the Cox model setting for the estimation of a conditional survival function given a covariate.     

Gibt es (noch) etwas spezifisch Ostdeutsches im Beratungsbedarf?

Is there still something specific East German in the need for counseling? There is a specific East German background, considering the adaption of issues, contents and methods of counseling of East German top management, enterprises and institutions. In the last ten years, development in East Germany was above all a make up for the development of West German conditions. Today the trends in West and East Germany are equally faced with the reorganization of processes resulting from global standards. These are confronted with a hardly stabil economical and social basis in East Germany. The general need for counseling is determined by psychological counseling and change management.     

Complaining Our Way to Quality: Complaints, Contracts and the Voluntary Sector

The research on which this paper is based is part of a wider study of quality assurance and the voluntary sector. The focus of this paper is on complaints procedures, as part of quality assurance mechanisms, where voluntary agencies are the contracted service providers. The authors argue that, with the introduction of contracting and particularly with its further development, the way in which complaints mechanisms currently operate will need to be revised if they are to be an effective part of the quality assurance process.     

加涅累积学习理论与幼儿科学教育

作为将行为主义学习论与认知主义学习论相结合的代表,加涅的累积学习理论日益受到教育者的关注.其累积学习的模式,以及关于学习的条件、学习的要素、学习的过程等理论为幼儿科学教育内容的选择和安排以及方法的选择和运用提供了有力的理论依据.     

Goodness-of-Fit Tests for Multiplicative Models with Dependent Data

Abstract.  Several classical time series models can be written as a regression model between the components of a strictly stationary bivariate process. Some of those models, such as the ARCH models, share the property of proportionality of the regression function and the scale function, which is an interesting feature in econometric and financial models. In this article, we present a procedure to test for this feature in a non-parametric context. The test is based on the difference between two non-parametric estimators of the distribution of the regression error. Asymptotic results are proved and some simulations are shown in the paper in order to illustrate the finite sample properties of the procedure.     

Random Bernstein Polynomials

Random Bernstein polynomials which are also probability distribution functions on the closed unit interval are studied. The probability law of a Bernstein polynomial so defined provides a novel prior on the space of distribution functions on [0, 1] which has full support and can easily select absolutely continuous distribution functions with a continuous and smooth derivative. In particular, the Bernstein polynomial which approximates a Dirichlet process is studied. This may be of interest in Bayesian non-parametric inference. In the second part of the paper, we study the posterior from a "Bernstein–Dirichlet" prior and suggest a hybrid Monte Carlo approximation of it. The proposed algorithm has some aspects of novelty since the problem under examination has a "changing dimension" parameter space.     

Hypotheses testing for a multidimensional parameter of inhomogeneous Poisson processes

We observe a realization of an inhomogeneous Poisson process whose intensity function depends on an unknown multidimensional parameter. We consider the asymptotic behaviour of the Rao score test for a simple null hypothesis against the multilateral alternative. By using the Edgeworth type expansion (under the null hypothesis) for a vector of stochastic integrals with respect to the Poisson process, we refine the (classic) threshold of the test (obtained by the central limit theorem), which improves the first type probability of error. The expansion allows us to describe the power of the test under the local alternative, i.e. a sequence of alternatives, which converge to the null hypothesis with a certain rate. The rates can be different for components of the parameter.     

企业创新的执行过程研究

创新不是时髦的口号,创新重在切实地执行,而执行重在目标分解与层层落实。目前,从理论层面来讨论创新者居多,结合企业实际,从创新的执行层面讨论则相对较少。从企业创新执行角度,将创新的理念作为一个目标,分解为可执行的流程:企业分析—创新分析—创新需求评估—确定创新需求—企业创新制度设计—控制文档—企业创新制度执行—企业创新制度监控、反馈与有效性评估—识别和修正缺陷—流程和结果固化—持续执行。通过以上流程将创新融入企业,执行、固化并持续。