浅论邓小平创新思维

邓小平坚持一切从实际出发、实事求是的创新基本原则和以人民利益为创新评价标准,在马克思主义理论的一些基本方面实现了革命性的变革,实现了理论的创新。研究邓小平的创新思想,对于深刻理解和掌握邓小平理论的精神实质,更好地发挥邓小平理论对于现实的指导作用,具有十分重要的现实意义。     

论民族风俗习惯的改革及其途径

文章从民族风俗习惯发展的客观规律和我国少数民族和民族地区的实际出发 ,论述了改革民族风俗习惯的必然性、必要性及其民俗改革的途径和原则     

Exponentiality Test Based on the Progressive Type II Censoring via Cumulative Entropy

In this article, we use cumulative residual Kullback-Leibler information (CRKL) and cumulative Kullback-Leibler information (CKL) to construct two goodness-of-fit test statistics for testing exponentiality with progressively Type-II censored data. The power of the proposed tests are compared with the power of goodness-of-fit test for exponentiality introduced by Balakrishnan et al. (2007 Balakrishnan, N., Habibi Rad, A., Arghami, N.R. (2007). Testing exponentiality based on Kullback-Leibler information with progressively type-II censored data. IEEE Transactions on Reliability 56(2):301–307.[Crossref], [Web of Science ®] , [Google Scholar]). We show that when the hazard function of the alternative is monotone decreasing, the test based on CRKL has higher power and when the hazard function of the alternative is non-monotone, the test based on CKL has higher power. But, when it is monotone increasing the power difference between test based on CKL and their proposed test is not so remarkable. The use of the proposed tests is shown in an illustrative example.     

Probability Generating Function Based Jeffrey's Divergence for Statistical Inference

Statistical inference procedures based on transforms such as characteristic function and probability generating function have been examined by many researchers because they are much simpler than probability density functions. Here, a probability generating function based Jeffrey's divergence measure is proposed for parameter estimation and goodness-of-fit test. Being a member of the M-estimators, the proposed estimator is consistent. Also, the proposed goodness-of-fit test has good statistical power. The proposed divergence measure shows improved performance over existing probability generating function based measures. Real data examples are given to illustrate the proposed parameter estimation method and goodness-of-fit test.     

Quantifying the similarity of 2D images using edge pixels: an application to the forensic comparison of footwear impressions

We propose a novel method to quantify the similarity between an impression (Q) from an unknown source and a test impression (K) from a known source. Using the property of geometrical congruence in the impressions, the degree of correspondence is quantified using ideas from graph theory and maximum clique (MC). The algorithm uses the x and y coordinates of the edges in the images as the data. We focus on local areas in Q and the corresponding regions in K and extract features for comparison. Using pairs of images with known origin, we train a random forest to classify pairs into mates and non-mates. We collected impressions from 60 pairs of shoes of the same brand and model, worn over six months. Using a different set of very similar shoes, we evaluated the performance of the algorithm in terms of the accuracy with which it correctly classified images into source classes. Using classification error rates and ROC curves, we compare the proposed method to other algorithms in the literature and show that for these data, our method shows good classification performance relative to other methods. The algorithm can be implemented with the R package shoeprintr.     

Confidence intervals based on the deviance statistic for the hyperparameters in state space models

The main objective of this work is to evaluate the performance of confidence intervals, built using the deviance statistic, for the hyperparameters of state space models. The first procedure is a marginal approximation to confidence regions, based on the likelihood test, and the second one is based on the signed root deviance profile. Those methods are computationally efficient and are not affected by problems such as intervals with limits outside the parameter space, which can be the case when the focus is on the variances of the errors. The procedures are compared to the usual approaches existing in the literature, which includes the method based on the asymptotic distribution of the maximum likelihood estimator, as well as bootstrap confidence intervals. The comparison is performed via a Monte Carlo study, in order to establish empirically the advantages and disadvantages of each method. The results show that the methods based on the deviance statistic possess a better coverage rate than the asymptotic and bootstrap procedures.     

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.     

应对气候变化措施同WTO原则的冲突——理论与实证分析

与贸易有关的环境措施在GATT/WTO法律层面持续引起学者们对贸易与环境问题的激烈争论。而气候变化博弈中,WTO成员方采取应对气候变化的单边措施,可能违反了WTO的非歧视原则和其他若干规则。对从未做出碳减排承诺的国家进口的产品征收反补贴税可能违反SCM协定,TRIPs协定很难成功适用于气候友好型技术的转让与应用之中,这都是气候变化下WTO争端问题凸显的主因。本文通过探讨碳关税等应对气候变化措施与WTO的一致性,对GATT/WTO关于贸易与环境的争端解决案例进行解读,探寻气候变化下WTO争端解决的未来走向,对我国频发的贸易摩擦提出应对策略。     

孙中山的社会福利思想探析

孙中山的社会福利观一方面继承了中国社会福利思想的传统,又受到资产阶级民主革命和西方福利思想的影响,形成他颇具特色的社会福利观,成为其民生主义的重要内容。孙中山关注社会弱势群体,认为为国民提供社会福利是政府的责任,倡导社会福利的制度化和法治化建设。孙中山的社会福利思想对民国的社会福利实践产生了重要影响,在中国社会思想史上占有重要的地位。