Do Lets Work?

This study aims to uncover some of the reasons for differences in attitudes towards family‐friendly and equal opportunities (EO) policies for women between senior and junior staff and between male and female staff. This in‐depth case study of a multi‐national corporation in Hong Kong that included a survey questionnaire, interviews and participant observation suggests four categories of female employees according to their approach to EO: advocators, supporters, outsiders and rejecters. The approach adopted was dependent on the woman's level of empathy towards the situation of working women and the extent of her career ambition. Four categories of male employees can also be classified depending on their level of empathy towards women's situation (similar to women's case) and their extent of career satisfaction (in contrast to women's career ambition), namely, antagonists, outsiders, fence‐sitters and sympathizers. Women at higher levels were less supportive of EO than women at lower levels. No such clear relationship between organizational level and attitudes towards EO was observed among men. In Hong Kong, female managers had little expectation that their organization would be family‐friendly and women workers who consciously chose to balance work and family accepted that it meant fewer promotional chances. No such self‐adjusted depressed ambition was observed among men.     

A study of simulated annealing and a revised cascade algorithm for image reconstruction

We describe an image reconstruction problem and the computational difficulties arising in determining the maximum a posteriori (MAP) estimate. Two algorithms for tackling the problem, iterated conditional modes (ICM) and simulated annealing, are usually applied pixel by pixel. The performance of this strategy can be poor, particularly for heavily degraded images, and as a potential improvement Jubb and Jennison (1991) suggest the cascade algorithm in which ICM is initially applied to coarser images formed by blocking squares of pixels. In this paper we attempt to resolve certain criticisms of cascade and present a version of the algorithm extended in definition and implementation. As an illustration we apply our new method to a synthetic aperture radar (SAR) image. We also carry out a study of simulated annealing, with and without cascade, applied to a more tractable minimization problem from which we gain insight into the properties of cascade algorithms.     

Estimation of noncentrality parameters

We propose some estimators of noncentrality parameters which improve upon usual unbiased estimators under quadratic loss. The distributions we consider are the noncentral chi-square and the noncentral F. However, we give more general results for the family of elliptically contoured distributions and propose a robust dominating estimator.     

建立多层次资本市场 促进经济快速发展

目前我国资本市场在规模、功能、结构、规则等方面存在着严重的制度缺陷.资本市场发展与经济发展不协调的现状表明,我国迫切需要培育和建立多层次的资本市场,其主要模式包括主板市场、二板市场、三板市场以及以区域性资本市场为体系的多层次资本市场,扩充资本市场的服务对象,健全和完善资本市场服务体系,以适应我国经济发展过程中不同类型企业的融资需求.     

提高地方高校教学质量的思考与实践

教学质量是学校办学的生命,要提高地方高校的教学质量,首先必须对大众化高等教育的教学质量有一个正确的认识,明确教学质量应该围绕其办学的实际职能进行评估;其次要采取全员参与教学质量管理、全过程的质量控制以及建立合适的教学质量评价体系和激励机制,采取全方位的质量监控与评估等一系列措施。此外,必须认真对我国的高等教育进行研究,深入进行教学改革,促进人才培养质量的提高。     

MODEL-ASSISTED HIGHER-ORDER CALIBRATION OF ESTIMATORS OF VARIANCE

In survey sampling, interest often centres on inference for the population total using information about an auxiliary variable. The variance of the estimator used plays a key role in such inference. This study develops a new set of higher‐order constraints for the calibration of estimators of variance for various estimators of the population total. The proposed strategy requires an appropriate model for describing the relationship between the response and auxiliary variable, and the variance of the auxiliary variable. It is therefore referred to as a model‐assisted approach. Several new estimators of variance, including the higher‐order calibration estimators of the variance of the ratio and regression estimators suggested by Singh, Horn & Yu and Sitter & Wu are special cases of the proposed technique. The paper presents and discusses the results of an empirical study to compare the performance of the proposed estimators and existing counterparts.     

略论清官文学的成因及其价值评判

清官文学的成因是现实苦难的显影、民众诉说苦难心理以及文人拯救苦难情怀三者的合一。通过清官文 学的成因分析表明,清官文学的产生完全是文学自身生态机制作用下的结果。清官文学的合理价值集中表现为 它的现实品格。     

Generalized additive models for location, scale and shape

Summary.  A general class of statistical models for a univariate response variable is presented which we call the generalized additive model for location, scale and shape (GAMLSS). The model assumes independent observations of the response variable y given the parameters, the explanatory variables and the values of the random effects. The distribution for the response variable in the GAMLSS can be selected from a very general family of distributions including highly skew or kurtotic continuous and discrete distributions. The systematic part of the model is expanded to allow modelling not only of the mean (or location) but also of the other parameters of the distribution of y , as parametric and/or additive nonparametric (smooth) functions of explanatory variables and/or random-effects terms. Maximum (penalized) likelihood estimation is used to fit the (non)parametric models. A Newton–Raphson or Fisher scoring algorithm is used to maximize the (penalized) likelihood. The additive terms in the model are fitted by using a backfitting algorithm. Censored data are easily incorporated into the framework. Five data sets from different fields of application are analysed to emphasize the generality of the GAMLSS class of models.     

地方院校研究生扩招现状及对策分析

通过分析地方院校研究生扩招所带来的积极影响和消极影响,提出地方院校研究生扩招必须适应社会进步的历史要求,把握社会、经济、文化发展的客观规律;国家和主管部门在制定招生计划时要依据招生单位的培养能力,动态调整招生计划.     

Real nonparametric regression using complex wavelets

Summary.  Wavelet shrinkage is an effective nonparametric regression technique, especially when the underlying curve has irregular features such as spikes or discontinuities. The basic idea is simple: take the discrete wavelet transform of data consisting of a signal corrupted by noise; shrink or remove the wavelet coefficients to remove the noise; then invert the discrete wavelet transform to form an estimate of the true underlying curve. Various researchers have proposed increasingly sophisticated methods of doing this by using real-valued wavelets. Complex-valued wavelets exist but are rarely used. We propose two new complex-valued wavelet shrinkage techniques: one based on multiwavelet style shrinkage and the other using Bayesian methods. Extensive simulations show that our methods almost always give significantly more accurate estimates than methods based on real-valued wavelets. Further, our multiwavelet style shrinkage method is both simpler and dramatically faster than its competitors. To understand the excellent performance of this method we present a new risk bound on its hard thresholded coefficients.