我国居民收入差距与全面建设小康社会研究

本文根据最新调查统计资料 ,采用实证分析的方法 ,从三个方面来探讨居民收入差距与全面建设小康社会。首先 ,用“基尼系数”和“五等份分组”法来分析改革开放以后 ,我国居民收入差距呈现出不断扩大的趋势 ,同时讨论了非法非正常收入对扩大居民收入差距的影响 ,从而得出了正是由于收入分配中存在着这些不合理因素 ,使得我国目前达到的“总体小康”只能是“不全面的”和“不均衡”的。其次 ,根据国家统计局等部门制定的小康生活水平基本标准 ,测算了我国城镇、农村、地区和人口小康生活水平的实现程度 ,论述了从“总体小康”到“全面建设小康社会”还存在着较大的差距。最后 ,从发展经济、提高居民收入水平和缩小收入距的角度 ,提出了在本世纪头 2 0年全面建设小康社会的对策措施。     

少数民族民间文学艺术法律保护研究

贵州省是少数民族大省,少数民族文化丰富多彩。当前贵州省少数民族民间文学艺术保护的法律法规体系呈现公法“纵横交错”的格局,但却存在私法保护严重不足、知识产权法律无法全面覆盖传统少数民族民间文学艺术等缺憾与不足。新时代背景下,应坚持依法治国,以科学立法为目标,总结贵州省少数民族民间文学艺术法律保护的现有问题。据此提出建立完善以民法为主结合其他特别法的私法保护体系,提高地方立法的可操作性,增强权利主体意识等改进措施。     

涉农财政资源分配体系的重构与村庄治权再造

税费改革后,国家涉农财政资源是采取技术化分配方式输入农村,没有实现向村级治理资源的转化,未起到增强村庄治权的效果。成都市和清远市农村资源分配体系创新实践通过资源整合、组织配套和分配程序创设等体制建设重构了国家涉农财政资源的民主化分配体系。其所内涵的村级组织资源统筹机制、村民利益关联机制和村民民主参与机制实现了村庄治权再造,这对优化国家涉农财政资源分配体系、提升农村基层治理能力具有重要的启示意义。     

Simultaneous Confidence Intervals for the Parameters of Pareto Distribution under Progressive Censoring

In this article, we consider the progressive Type II right censored sample from Pareto distribution. We introduce a new approach for constructing the simultaneous confidence interval of the unknown parameters of this distribution under progressive censoring. A Monte Carlo study is also presented for illustration. It is shown that this confidence region has a smaller area than that introduced by Ku? and Kaya (2007 Ku? , C. , Kaya , M. F. ( 2007 ). Estimation for the parameters of the Pareto distribution under progressive censoring . Commun. Statist. Theor. Meth. 36 : 1359 – 1365 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]).     

Locking the Wiener Process to its Level-Crossing Time

We consider the specific transformation of a Wiener process {X(t), t ≥ 0} in the presence of an absorbing barrier a that results when this process is “time-locked” with respect to its first passage time T _a through a criterion level a, and the evolution of X(t) is considered backwards (retrospectively) from T _a . Formally, we study the random variables defined by Y(t) ≡ X(T _a  ? t) and derive explicit results for their density and mean, and also for their asymptotic forms. We discuss how our results can aid interpretations of time series “response-locked” to their times of crossing a criterion level.     

On Order Statistics from Sine Distribution

We derive closed form expressions for the first two moments of order statistics from the sine distribution. For the higher moments, a recurrence relation is given. We also give a recurrence relation for the product moments. These relations will be useful for moment computations based on ordered data.     

Large Deviations for Empirical Estimators of the Stationary Distribution of a Semi-Markov Process with Finite State Space

We prove the large deviation principle for empirical estimators of stationary distributions of semi-Markov processes with finite state space, irreducible embedded Markov chain, and finite mean sojourn time in each state. We consider on/off Gamma sojourn processes as an illustrative example, and, in particular, continuous time Markov chains with two states. In the second case, we compare the rate function in this article with the known rate function concerning another family of empirical estimators of the stationary distribution.     

Asymptotic Results of a Nonparametric Conditional Quantile Estimator for Functional Time Series

We consider the estimation of the conditional quantile function when the covariates take values in some abstract function space. The main goal of this article is to establish the almost complete convergence and the asymptotic normality of the kernel estimator of the conditional quantile under the α-mixing assumption and on the concentration properties on small balls of the probability measure of the functional regressors. Some applications and particular cases are studied. This approach can be applied in time series analysis to the prediction and building of confidence bands. We illustrate our methodology with El Niño data.     

Objective Bayesian Analysis of an Exponential Regression Model with Constrained Parameters Applied to Animal Digestibility

In animal digestibility the proportion of degraded food along the time has usually been modeled as a normal random variable with mean a function of the time and the following three parameters: the proportion of degraded food almost instantaneously, remaining proportion of food to be degraded, and velocity of degradation. The estimation of these parameters has been carried out mainly from a frequentist viewpoint by using the asymptotic distribution of the maximum likelihood estimator. This may give inadmissible estimates, such as values outside of the range of the parameters. This drawback could not appear if a Bayesian approach were adopted. In this article an objective Bayesian analysis is developed and illustrated on real and simulated data.