江西劳动就业问题研究

江西劳动就业面临的主要问题是劳动力供需矛盾尖锐、劳动力素质偏低。这些问题严重制约着江西经济的健康发展。必须从增加劳动力需求和控制劳动力的供给着手 ,双管齐下 ;同时 ,要把提高劳动力素质贯穿到整个劳动力供需矛盾的解决中去     

Merging information for semiparametric density estimation

Summary.  The density ratio model specifies that the likelihood ratio of m −1 probability density functions with respect to the m th is of known parametric form without reference to any parametric model. We study the semiparametric inference problem that is related to the density ratio model by appealing to the methodology of empirical likelihood. The combined data from all the samples leads to more efficient kernel density estimators for the unknown distributions. We adopt variants of well-established techniques to choose the smoothing parameter for the density estimators proposed.     

Data tilting for time series

Summary. We develop a general methodology for tilting time series data. Attention is focused on a large class of regression problems, where errors are expressed through autoregressive processes. The class has a range of important applications and in the context of our work may be used to illustrate the application of tilting methods to interval estimation in regression, robust statistical inference and estimation subject to constraints. The method can be viewed as 'empirical likelihood with nuisance parameters'.     

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.     

A simple procedure for the selection of significant effects

Summary.  Given a large number of test statistics, a small proportion of which represent departures from the relevant null hypothesis, a simple rule is given for choosing those statistics that are indicative of departure. It is based on fitting by moments a mixture model to the set of test statistics and then deriving an estimated likelihood ratio. Simulation suggests that the procedure has good properties when the departure from an overall null hypothesis is not too small.     

雪夜森林边的思考——罗伯特·弗罗斯特诗歌思想管窥

罗伯特·弗罗斯特作为二十世纪美国最伟大的诗人之一,其思想和观点在其诗歌艺术创作之中表现出来.本文仅以其诗歌来窥视其观点和思想,为进一步的了解和研究弗罗斯特提供些许研究素材和浅薄的理论认识.     

成人教育的有效性探讨

成人学习与青年学生不同 ,他们侧重于从经验中学习 ,目的性明确 ,理解能力和分析解决问题的能力较强。但他们的学习也常受制于各种主客观因素 ,存在局限性。要提高成人教育的有效性 ,一要走自学、互学的路子 ,努力建立学习型组织 ,实现知识和经验共享 ;二是改革培训的方式方法 ,提高在教师指导下的培训效果     

隋代通守考论

通守是隋末设置的一个具有特定功能的官职 ,为其他朝代所无 ,主要镇压隋末农民起义。通守的设置 ,既是大业末年政局形势所迫 ,也是隋代加强中央集权、削弱郡守功能的结果。通守尽管为郡级佐官 ,但其实际功能已经取代甚或超越了太守。     

国内专利情报研究综述

本文从专利情报的作用、分析、工作等六个研究热点对国内的专利情报研究进行了较为全面地总结和概括,并对研究的不足之处提出了自己的看法。     

对幼儿园男教师作用的初步研究

在学前教育领域,教师性别倾斜仍然是一个不争的事实。对教师性别比例不平衡的关注导致出现了许多关于在学前教育领域需加大男教师比例的呼吁。但是,有关学前教育领域男教师比例高低的影响的论述一直受实证证据少的限制。采用观察法、访谈法和实物研究等多种方法的对照,有助于获得对这一问题的新资料与新思考。