Confucius＇ Psychological Adjustment Strategies and Its Revelation for Teachers

孔子以丰厚的学识修养锻炼出成熟丰富的心理调适策略：树立崇高的价值取向；构建学习型生活方式；培养高雅的生活情趣；固守正确的交友观念；保持幽默的人生态度。这些策略对当代教师具有重要的借鉴意义。     

A robust and efficient estimation method for nonparametric models with jump points

Nonparametric models with jump points have been considered by many researchers. However, most existing methods based on least squares or likelihood are sensitive when there are outliers or the error distribution is heavy tailed. In this article, a local piecewise-modal method is proposed to estimate the regression function with jump points in nonparametric models, and a piecewise-modal EM algorithm is introduced to estimate the proposed estimator. Under some regular conditions, the large-sample theory is established for the proposed estimators. Several simulations are presented to evaluate the performances of the proposed method, which shows that the proposed estimator is more efficient than the local piecewise-polynomial regression estimator in the presence of outliers or heavy tail error distribution. What is more, the proposed procedure is asymptotically equivalent to the local piecewise-polynomial regression estimator under the assumption that the error distribution is a Gaussian distribution. The proposed method is further illustrated via the sea-level pressures.     

Spanish migrants to European Union countries: predictors of psychological adjustment / Españoles que emigran a países de la Unión Europea: predictores de su ajuste psicológico

In recent years, the migration of Spanish people to other countries in Europe has increased; however, there are hardly any studies on this phenomenon. The aim of this study is to identify the predictive sociodemographic and psychosocial factors of psychological adjustment (life satisfaction and absence of internalizing symptoms) of emigrants and to determine the indirect effects of these factors through perceived stress. This study also seeks to examine whether the psychological adjustment of Spanish emigrants was similar to Spanish non-emigrants. The sample was made up of a group of Spanish emigrants to Germany and England (n = 858) and an equivalent control group of Spanish non-emigrants (n = 328). The results show that fulfilment of expectations, emotional support and job quality are the best predictors of perceived stress and psychological adjustment. These factors are confirmed to have indirect effects on psychological adjustment through perceived stress. Finally, the mental health of emigrants and non-emigrants was similar, and the implications of these findings are discussed.     

Scanner Data and the Treatment of Quality Change in Nonrevisable Price Indexes

The recently developed rolling year GEKS procedure makes maximum use of all matches in the data to construct nonrevisable price indexes that are approximately free from chain drift. A potential weakness is that unmatched items are ignored. In this article we use imputation Törnqvist price indexes as inputs into the rolling year GEKS procedure. These indexes account for quality changes by imputing the “missing prices” associated with new and disappearing items. Three imputation methods are discussed. The first method makes explicit imputations using a hedonic regression model which is estimated for each time period. The other two methods make implicit imputations; they are based on time dummy hedonic and time-product dummy regression models and are estimated on bilateral pooled data. We present empirical evidence for New Zealand from scanner data on eight consumer electronics products and find that accounting for quality change can make a substantial difference.     

Wavelet Estimator in Nonparametric Regression Model with Dependent Error’s Structure

In this article, we consider a nonparametric regression model with replicated observations based on the dependent error’s structure, for exhibiting dependence among the units. The wavelet procedures are developed to estimate the regression function. The moment consistency, the strong consistency, strong convergence rate and asymptotic normality of wavelet estimator are established under suitable conditions. A simulation study is undertaken to assess the finite sample performance of the proposed method.     

孔子的心理调适策略及对教师的启示

孔子以丰厚的学识修养锻炼出成熟丰富的心理调适策略:树立崇高的价值取向;构建学习型生活方式;培养高雅的生活情趣;固守正确的交友观念;保持幽默的人生态度。这些策略对当代教师具有重要的借鉴意义。     

Bayesian optimal sequential design for nonparametric regression via inhomogeneous evolutionary MCMC

We develop a novel computational methodology for Bayesian optimal sequential design for nonparametric regression. This computational methodology, that we call inhomogeneous evolutionary Markov chain Monte Carlo, combines ideas of simulated annealing, genetic or evolutionary algorithms, and Markov chain Monte Carlo. Our framework allows optimality criteria with general utility functions and general classes of priors for the underlying regression function. We illustrate the usefulness of our novel methodology with applications to experimental design for nonparametric function estimation using Gaussian process priors and free-knot cubic splines priors.     

Religion in the Lives of Older Women Serving Life in Prison

This exploratory qualitative study examined the roles of religiousness in the lives of 21 older women (mean age = 63) serving life sentences in one southern state. Based on survey and focus group methodology, several themes emerged as important focal points, including early religious experiences prior to incarceration, imprisonment and religious doubt, participation in formal and informal religious activities, and use of religion in coping with stressors such as interpersonal relationships, trauma, and health statuses. Irrespective of their religious upbringing, all participants agreed that religiosity/spirituality played a key role in their ability to cope with their prison experience as well as for maintaining hope and the opportunity for release.     

The aligned rank transform and discrete variables: A warning

For two-way layouts in a between subjects ANOVA design the aligned rank transform (ART) is compared with the parametric F-test as well as six other nonparametric methods: rank transform (RT), inverse normal transform (INT), a combination of ART and INT, Puri & Sen's L statistic, van der Waerden and Akritas & Brunners ATS. The type I error rates are computed for the uniform and the exponential distributions, both as continuous and in several variations as discrete distribution. The computations had been performed for balanced and unbalanced designs as well as for several effect models. The aim of this study is to analyze the impact of discrete distributions on the error rate. And it is shown that this scaling impact is restricted to the ART- as well as the combination of ART- and INT-method. There are two effects: first with increasing cell counts their error rates rise beyond any acceptable limit up to 20 percent and more. And secondly their rates rise when the number of distinct values of the dependent variable decreases. This behavior is more severe for underlying exponential distributions than for uniform distributions. Therefore there is a recommendation not to apply the ART if the mean cell frequencies exceed 10.