Transition psychology: the membership approach

改革开放以来的中国社会转型给中国社会心理学者提供了独特的社会实验室。为 了描述、理解和解释社会转型中的中国人心理和行为逻辑，应该呼唤直面社会转型的 社会心理学研究，或转型心理学的研究，以超越文化特异性路径和稳态社会路径。其 可能的核心构念是多元群体（成员）资格。

关键词: 转型心理学 文化特异性路径 稳态社会路径 部分群体资格

China's social transformation since reform and opening up in 1978 has provided a unique social laboratory for Chinese researchers of social psychology. In order to describe, understand and interpret the psychological and behavioral logic of the Chinese people, we need to call on social psychology research or social transition psychology research that looks directly at social transition, in order to go beyond the cultural exceptionalism and static society approaches. Multiple group membership is the potential core construct of such a psychology.     

Multiple decision rules for comparing several populations with a fixed known standard

Independent observations are available from k univariate distributions indexed by a real parameter θ. It is desired to select that distribution with the largest parameter value unless this value is smaller than some fixed standard θ₀ in which case no distribution is to be selected. Various single-stage procedures for this (k+l)-decision problem are discussed, using indifference zone, decision theoretic, Bayesian, and subset selection approaches.     

On the distributions of the differences between the estimated autocorrelations and partial autocorrelations at the same lag

Pukkila (1982) introduced a new portmanteau-type test of white noise. The test is based on the differences between the estimated autocorrelations and the corresponding partial autocorrelations. In the present paper the distributions of these differences are consider in the case of normal white noise. Approximations to these distributions are given. Goodness of fit of these theoretical distributions and the corresponding observed distributions is studied using simulated time series of various lengths.     

A non-inferiority test for diagnostic accuracy in the absence of the golden standard test based on the paired partial areas under receiver operating characteristic curves

Non-inferiority tests are often measured for the diagnostic accuracy in medical research. The area under the receiver operating characteristic (ROC) curve is a familiar diagnostic measure for the overall diagnostic accuracy. Nevertheless, since it may not differentiate the diverse shapes of the ROC curves with different diagnostic significance, the partial area under the ROC (PAUROC) curve, another summary measure emerges for such diagnostic processes that require the false-positive rate to be in the clinically interested range. Traditionally, to estimate the PAUROC, the golden standard (GS) test on the true disease status is required. Nevertheless, the GS test may sometimes be infeasible. Besides, in a lot of research fields such as the epidemiology field, the true disease status of the patients may not be known or available. Under the normality assumption on diagnostic test results, based on the expectation-maximization algorithm in combination with the bootstrap method, we propose the heuristic method to construct a non-inferiority test for the difference in the paired PAUROCs without the GS test. Through the simulation study, although the proposed method might provide a liberal test, as a whole, the empirical size of the proposed method sufficiently controls the size at the significance level, and the empirical power of the proposed method in the absence of the GS is as good as that of the non-inferiority in the presence of the GS. The proposed method is illustrated with the published data.     

Estimation and Inference of Distributional Partial Effects: Theory and Application

This article considers nonparametric and semiparametric estimation and inference of the effects of a covariate, either discrete or continuous, on the conditional distribution of a response outcome. It also proposes various uniform tests following estimation. This type of analysis is useful in situations where the econometrician or policy-maker is interested in knowing the effect of a variable or policy on the whole distribution of the response outcome conditional on covariates and is not willing to make parametric functional form assumptions. Monte Carlo experiments show that the proposed estimators and tests are well-behaved in small samples. The empirical section studies the effect of minimum wage hikes on household labor earnings. It is found that the minimum wage has a heterogenous impact on household earnings in the U.S. and that small hikes in the minimum wage are more effective in improving the household earnings distribution.     

Failure time regression with continuous covariates measured with error

We consider failure time regression analysis with an auxiliary variable in the presence of a validation sample. We extend the nonparametric inference procedure of Zhou and Pepe to handle a continuous auxiliary or proxy covariate. We estimate the induced relative risk function with a kernel smoother and allow the selection probability of the validation set to depend on the observed covariates. We present some asymptotic properties for the kernel estimator and provide some simulation results. The method proposed is illustrated with a data set from an on-going epidemiologic study.     

由基函数选择辅助线性算子的方法

本文研究了同伦分析方法中由基函数选择有效的辅助线性算子的方法，并将其应用到同伦分析方法中，求解了一个非线性偏微分方程边值问题，并且获得了收敛的级数解．结果表明此方法是有效的，也有利于同伦分析方法的进一步研究．     

城乡居民消费结构变动影响因素的比较分析——基于PLSR的阶段性证据

居民消费结构变动的影响因素可以根据新兴古典经济学的分析框架进行分析。虽然没有与专业化水平、交易效率和经济绩效直接对应的数据，但是可以选择一组涵盖三个方面的指标，运用偏最小二乘回归方法进行实证研究。基于1978～2005的数据，对中国城乡居民消费结构变动的影响因素进行比较分析，其结果显示了影响因素的阶段性差异。     

一类非单调二元算子新的不动点定理

利用锥理论和非对称迭代方法,讨论了不具有连续性和紧性条件的非单调二元算子方程解的存在唯一性,并给出了迭代序列收敛于解的误差估计,所得结果是某些已知结果的本质改进和推广.     

基于模糊偏序关系的软件测试评价方法

讨论了模糊理论在软件测试质量评价方面的可行性;提出了软件测试质量评价指标体系的概念和软件测试质量评价方法,即基于模糊偏序关系的评价方法;对该方法的优缺点及适用条件进行了分析;通过实例计算验证了该方法在评价软件测试质量方面的有效性。