家庭资本对大学生专业选择影响的调查研究——基于教育公平视角

运用问卷调查法对西南地区6所不同类型高等学校2013年招收的1000名大一学生进行抽样调查,调查发现：大学生专业选择受家庭资本的影响,并且家庭资本一定程度上影响了大学生专业选择的公平性,高资本家庭的学生由于家庭在经济、文化和社会上的优势,更多地就读于经济管理学科、工科等就业率和收入都较高的专业;低家庭资本的学生更多地就读于医科、文科、理科等目前就业较困难或收入较低的专业。因此,消除家庭资本对大学生专业选择影响上的不公平性,要完善高等教育资助体系,减少低经济资本家庭学生负担;加强信息援助,保障低文化资本家庭学生专业知情权;营造公平环境,消除高家庭社会资本在专业选择上的干扰因素。     

上海体育产业高质量发展的典型特点、主要问题和对策建议

围绕体育产业高质量发展,应坚持以目标为导向,进一步明确发展思路、任务举措和关键突破口.深化"体育+"与"+体育"发展,夯实产业发展基础;牢牢抓住赛事、场馆和市场,增强上海体育产业引领性;聚焦数字化、融合化、资本化,拓展产业业务范围.     

A Note on Inconsistency of NPMLE of the Distribution Function from Left Truncated and Case I Interval Censored Data

We show that under reasonable conditions the nonparametric maximum likelihood estimate (NPMLE) of the distribution function from left-truncated and case 1 interval-censored data is inconsistent, in contrast to the consistency properties of the NPMLE from only left-truncated data or only interval-censored data. However, the conditional NPMLE is shown to be consistent. Numerical examples are provided to illustrate their finite sample properties.     

Estimating survival curves with left truncated and interval censored data via the ems algorithm

It is well-known that the nonparametric maximum likelihood estimator (NPMLE) of a survival function may severely underestimate the survival probabilities at very early times for left truncated data. This problem might be overcome by instead computing a smoothed nonparametric estimator (SNE) via the EMS algorithm. The close connection between the SNE and the maximum penalized likelihood estimator is also established. Extensive Monte Carlo simulations demonstrate the superior performance of the SNE over that of the NPMLE, in terms of either bias or variance, even for moderately large Samples. The methodology is illustrated with an application to the Massachusetts Health Care Panel Study dataset to estimate the probability of being functionally independent for non-poor male and female groups rcspectively.     

Quasi-maximum exponential likelihood estimation for a non stationary GARCH(1,1) model

ABSTRACT

This article investigates a quasi-maximum exponential likelihood estimator(QMELE) for a non stationary generalized autoregressive conditional heteroscedastic (GARCH(1,1)) model. Asymptotic normality of this estimator is derived under a non stationary condition. A simulation study and a real example are given to evaluate the performance of QMELE for this model.     

The non parametric regression estimate with dependent measurement errors

ABSTRACT

Non parametric regression estimation with measurement errors data has received great attention, and deconvolution local polynomial estimators can be used to deal with the problem that the errors are independent of other variables in the literature. In this article, the copula method is applied to tackle the case that the errors may depend on covariates, and the asymptotic properties of the resulting estimators are derived. Two simulations are conducted to illustrate the performance of the proposed estimators.     

Modeling of covariance structures of random effects and random errors in linear mixed models

Abstract

In this paper, we discuss how to model the mean and covariancestructures in linear mixed models (LMMs) simultaneously. We propose a data-driven method to modelcovariance structures of the random effects and random errors in the LMMs. Parameter estimation in the mean and covariances is considered by using EM algorithm, and standard errors of the parameter estimates are calculated through Louis’ (1982 Louis, T.A. (1982). Finding observed information using the EM algorithm. J. Royal Stat. Soc. B 44:98–130. [Google Scholar]) information principle. Kenward’s (1987 Kenward, M.G. (1987). A method for comparing profiles of repeated measurements. Appl. Stat. 36:296–308.[Crossref], [Web of Science ®] , [Google Scholar]) cattle data sets are analyzed for illustration,and comparison to the literature work is made through simulation studies. Our numerical analysis confirms the superiority of the proposed method to existing approaches in terms of Akaike information criterion.     

坩埚热导率对晶体生长温度场的影响

本文通过有限元数值方法计算了坩埚热导率对晶体生长温度场的影响,指出当坩埚热导率大于晶体材料的热导率时,生长区域的纵向温梯会有大幅度减小,反之,温梯变化较小。并且认为当坩埚侧面与环境的热交换系数很大时,坩埚热导率的影响作用变小。并指出坩埚热导率可以通过热处理及其他手段予以调节。     

A Multiple Imputation Approach to Linear Regression with Clustered Censored Data

Weextend Wei and Tanner's (1991) multiple imputation approach insemi-parametric linear regression for univariate censored datato clustered censored data. The main idea is to iterate the followingtwo steps: 1) using the data augmentation to impute for censoredfailure times; 2) fitting a linear model with imputed completedata, which takes into consideration of clustering among failuretimes. In particular, we propose using the generalized estimatingequations (GEE) or a linear mixed-effects model to implementthe second step. Through simulation studies our proposal comparesfavorably to the independence approach (Lee et al., 1993), whichignores the within-cluster correlation in estimating the regressioncoefficient. Our proposal is easy to implement by using existingsoftwares.