分贷统还合同的法律性质与违约风险化解

分贷统还合同为政府通过合约统一贴息实现了扶贫资金的公司化运作,有效地发挥财政扶贫资金的整体效益,但也产生了合同法律性质认定争议大、合同履行易受政策变化影响;户贷企用导致贷款用途和资金安全存在风险,公司分红还款系统性违约等弊端,如公司经营不善,贷款亏空,一旦出现系统性违约,不仅影响农村社会稳定和政府公信力,司法机关亦将面临纠纷批量涌入的现实问题。为趋利避害,分贷统还合同有必要在综合衡量扶贫目的、公司盈利及扶贫责任和银行资金安全的基础上,调整户贷企用政策,甄别债权类型,考虑违约的具体情势,从实操层面化解分贷统还合同违约风险。     

A powerful and efficient algorithm for breaking the links between aliased effects in asymmetric designs

Fractional factorial (FF) designs are no doubt the most widely used designs in experimental investigations due to their efficient use of experimental runs. One price we pay for using FF designs is, clearly, our inability to obtain estimates of some important effects (main effects or second order interactions) that are separate from estimates of other effects (usually higher order interactions). When the estimate of an effect also includes the influence of one or more other effects the effects are said to be aliased. Folding over an FF design is a method for breaking the links between aliased effects in a design. The question is, how do we define the foldover structure for asymmetric FF designs, whether regular or nonregular? How do we choose the optimal foldover plan? How do we use optimal foldover plans to construct combined designs which have better capability of estimating lower order effects? The main objective of the present paper is to provide answers to these questions. Using the new results in this paper as benchmarks, we can implement a powerful and efficient algorithm for finding optimal foldover plans which can be used to break links between aliased effects.     

Estimation and Inference Procedures for Semiparametric Distribution Models with Varying Linear‐Index

More flexible semiparametric linear‐index regression models are proposed to describe the conditional distribution. Such a model formulation captures varying effects of covariates over the support of a response variable in distribution, offers an alternative perspective on dimension reduction and covers a lot of widely used parametric and semiparameteric regression models. A feasible pseudo likelihood approach, accompanied with a simple and easily implemented algorithm, is further developed for the mixed case with both varying and invariant coefficients. By justifying some theoretical properties on Banach spaces, the uniform consistency and asymptotic Gaussian process of the proposed estimator are also established in this article. In addition, under the monotonicity of distribution in linear‐index, we develop an alternative approach based on maximizing a varying accuracy measure. By virtue of the asymptotic recursion relation for the estimators, some of the achievements in this direction include showing the convergence of the iterative computation procedure and establishing the large sample properties of the resulting estimator. It is noticeable that our theoretical framework is very helpful in constructing confidence bands for the parameters of interest and tests for the hypotheses of various qualitative structures in distribution. Generally, the developed estimation and inference procedures perform quite satisfactorily in the conducted simulations and are demonstrated to be useful in reanalysing data from the Boston house price study and the World Values Survey.     

Simulation of the p-generalized Gaussian distribution

In this paper, we introduce the p-generalized polar methods for the simulation of the p-generalized Gaussian distribution. On the basis of geometric measure representations, the well-known Box–Muller method and the Marsaglia–Bray rejecting polar method for the simulation of the Gaussian distribution are generalized to simulate the p-generalized Gaussian distribution, which fits much more flexibly to data than the Gaussian distribution and has already been applied in various fields of modern sciences. To prove the correctness of the p-generalized polar methods, we give stochastic representations, and to demonstrate their adequacy, we perform a comparison of six simulation techniques w.r.t. the goodness of fit and the complexity. The competing methods include adapted general methods and another special method. Furthermore, we prove stochastic representations for all the adapted methods.     

均布荷载作用下双面组合梁的滑移效应分析

利用基本力学方法对钢．混凝土双面组合梁在均布荷载作用下的滑移效应进行分析，推导得到了负弯矩区上、下交界面滑移沿梁长方向的表达式，并通过算例比较了双面组合梁与传统单面连续组合梁的滑移特点。计算表明，与传统单面连续组合梁相比，钢-混凝土双面组合连续梁不仅在负弯矩区提高了截面承载力，也使截面刚度得到了提高。     

三维打印成形粉末的均匀试验设计研究

利用带限制的混料均匀方法对三维打印成形的粉末配方进行试验设计.对试验数据进行多元非线性回归分析,验证了石膏基粉末中各个成分对三维打印成形制件的影响规律.结果表明,粉末中石膏含量是影响制件密度的关键因素,而聚乙烯醇则可以显著提高制件的表面质量,减小尺寸变形量,白碳黑和聚乙烯醇的交互作用对制件密度和尺寸变形量也有一定的影响.     

Banach空间的一致光滑性的一个等价条件

本文用一种非常直接、简单的方法证明了文[1]和[2]中光滑、强光滑、一致光滑的充分条件。     

关于Gauss-Weierstrass算子线性组合的加权逼近

本文研究Gauss-Weierstrass算子的一类线性组合加Jacobi权的一致逼近问题，给出了逼近的正、逆定理和逼近阶的特征刻划。     

语言哲学的认识论基础——语言学形式与功能"大统一"方法论初探

语言学是哲学的重要分支，不断接受哲学认识理论的滋养。从哲学认识论角度来看，语言学领域一直存在“形式主义”和“功能主义”两大对立流派，两者对语言结构和意义的阐释存在较大差异。本文试图对两个流派进行比较，并对“统一”理论的建立进行尝试性的探讨。     

Optimal repeated measurements designs for comparing test treatments with a control

A-optimal and mv optimal repeated measurments designs for comparing serveral test treatments with a control are considered. the models considered are basically of two types: without preperides and the cirular model. It is shown known that some known strongly balanced uniform repeated measurements designs can be modified to obtain optimal designs for this problem. Some other methods of finding optimal designs are also given.