理工农医院校社科学报转引率偏低原因分析

理工农医院校社科学报由于办刊时间短,作者群不稳定,实用性文章较多,发行量少,学术界影响小,以及社会和学术界的偏见,致使转引率偏低。为此,理工农医院校社科学报要加强自身建设,走特色办刊原则,强化编辑队伍,建立稳定的作者群,坚持正确的办刊原则,以尽快提高学报质量。     

农村老年人老化态度变动轨迹:基于积极老龄化框架的实证考察

基于积极老龄化理论框架和“中国老年健康影响因素跟踪调查”面板数据,文章从积极和消极两个维度对农村老年人老化态度问题进行实证考察。研究发现,两种老化态度均以2008年为重要转折点,女性老化态度比男性更具多样性和多变性。健康、社会参与和保障都能引起老化态度的积极变动,但社会适应、子女经济支持和社区照料三个因素对消极老化态度有正向影响,而生产活动降低了积极老化态度水平。从贡献率看,健康因素对老化态度差异贡献最大,其次是保障因素、社会参与因素,健康因素更能解释积极老化态度的变化,社会参与因素对消极老化态度的贡献率更高,二者分别在女性和男性老年人群体中表现得更为明显。贡献率排在前四位的因素是精神健康、子女经济支持、医疗可及性和身体健康。用积极老龄化的观点帮助庞大的农村老年人口建立正确的老化态度将有益于养老问题的解决。     

Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation

A smoothed bootstrap method is presented for the purpose of bandwidth selection in nonparametric hazard rate estimation for iid data. In this context, two new bootstrap bandwidth selectors are established based on the exact expression of the bootstrap version of the mean integrated squared error of some approximations of the kernel hazard rate estimator. This is very useful since Monte Carlo approximation is no longer needed for the implementation of the two bootstrap selectors. A simulation study is carried out in order to show the empirical performance of the new bootstrap bandwidths and to compare them with other existing selectors. The methods are illustrated by applying them to a diabetes data set.     

Kernel density estimation under negative superadditive dependence and its application for real data

In this paper, the kernel density estimator for negatively superadditive dependent random variables is studied. The exponential inequalities and the exponential rate for the kernel estimator of density function with a uniform version, over compact sets are investigated. Also, the optimal bandwidth rate of the estimator is obtained using mean integrated squared error. The results are generalized and used to improve the ones obtained for the case of associated sequences. As an application, FGM sequences that fulfil our assumptions are investigated. Also, the convergence rate of the kernel density estimator is illustrated via a simulation study. Moreover, a real data analysis is presented.     

Parametrizing the Kepler exoplanet period-radius distribution with the bivariate normal inverse Gaussian distribution

This paper presents a simple and robust method for obtaining a comprehensive understanding of the joint period and radius distribution in Kepler exoplanets. The proposed method is based on particle swarm optimization and bivariate Normal Inverse Gaussian distribution. Furthermore, in the construction of the probability density function, this study selects planet-host stars with the GK-type. The injecting approach is also employed to solve the survey completeness of sample. The resulting occurrence rate of Earth analogs is 0.025 with a 95% bootstrap confidence interval between 0.023 and 0.032.     

Prediction of future failures times based on Type-I hybrid censored samples of random sample sizes

In this article, we consider the prediction of future failure times based on Type-I hybrid censored samples. Point predictors and prediction intervals using different procedures are discussed for a general model. The exponential and Rayleigh distributions are used as illustrative examples to show the most simplified forms of the so obtained predictors as well as prediction intervals. Intensive simulation study and a real life dataset are presented to illustrate our findings and results.     

Uniform consistency rate of kNN regression estimation for functional time series data

In this paper, we investigate the k-nearest neighbours (kNN) estimation of nonparametric regression model for strong mixing functional time series data. More precisely, we establish the uniform almost complete convergence rate of the kNN estimator under some mild conditions. Furthermore, a simulation study and an empirical application to the real data analysis of sea surface temperature (SST) are carried out to illustrate the finite sample performances and the usefulness of the kNN approach.     

A volume based approach to establish B-spline based expressions for density functions and its application to progressive hybrid censoring

We propose an approach to determine the distribution of particular linear combinations of hybrid censored order statistics which is based on the calculation of volumes of polytopes. For this purpose, we establish efficient and compact volume formulas in terms of B-splines. Further, we illustrate our approach for ten different progressive hybrid censoring schemes under an exponential assumption.     

基于人民币升值的船舶出口业影响研究

在各种主客观因素的作用下,人民币汇率制度改革应运而生,这一汇率变化必将对中国的社会和经济带来巨大的影响。近年来,我国的船舶出口业发展喜人,在国际市场上拥有很强的竞争力,并有着继续壮大的趋势,但随着人民币升值的影响以及船舶出口业的特点,决定了船舶出口业必定要受到较大的冲击和影响。所以在整个贸易大环境下,船舶出口业只有清楚地认识到人民币升值带来的影响,才能正确把握船舶出口的前进方向,运用有效的措施来巩固并促进船舶出口业的发展。     

深圳市投资率与投资效益的合理区间分析

投资、消费和净出口被喻为拉动经济发展的三驾马车。对于深圳这样一个以投资拉动为主的城市,投资在经济发展中具有重要的地位。通过对投资率和ICOR的国际比较分析,综合深圳市发展的历史阶段,可以揭示并发现深圳市的投资率与ICOR的合理区间、正确规划,以及深圳市的长远发展目标和规划。