别居法律制度研究

别居制度是国外亲属法或家庭法中的重要内容,它主要是指解除夫妻间的同居,但仍保持其婚姻关系的法律制度。我国婚姻法中无此规定,但现实生活中已出现大量事实上的别居现象,需要法律予以规制。结合有关国外的立法及本国的国情,阐述了别居的内涵、种类及对于我国设立别居制度的意义、别居制度的具体内容等问题,旨在抛砖引玉,为共同完善我国婚姻家庭法奠定理论基础。     

美国行政法的演化及其对我国行政法完善之启示

美国行政法历经近两百年的发展 ,从最初的传送带模式演变为专家知识模式 ,发展到近代的成本———利益分析 ,尽管每一次模式转变的背景、原理不同 ,但目的都是为行政权的行使寻求合理依据。我国行政法起步晚 ,结构体系、程序运作等诸多方面均存在不完善之处。通过对美国行政法演化过程的介绍分析 ,总结出行政法自身固有的民主、法治、分权、正当程度等一些普遍性准则 ,探讨其对我国行政法在转变传统观念、完善分权结构、加强司法审查和完善行政程序等方面可能提供的裨益     

权能分割:论我国《信托法》之信托财产所有权

英美法上信托财产的“双重所有权”与大陆法财产权制度的冲突引发了信托财产所有权归属争议。我国《信托法》中委托人、受托人和受益人的权利义务关系实质是信托财产所有权权能的分割,是在借鉴英美信托财产所有权理论基础上,对信托制度进行的诠释与创新。     

分别财产制主流化问题探究

分别财产制的主流化有利于家庭外债的处理,也有利于家事补偿请求的合理化。在分别财产制下,应着重处理好分别所有和必要共有及共同使用的关系,同时应处理好夫妻一方财产增值的分配、子女抚养费用分配等诸多问题。分别财产制能促进夫妻平等观念的形成,维护婚姻共同生活之圆满,同时维护第三人的利益及交易安全,符合夫妻财产立法的原则和目的,亦符合现有的财产所有和分配观念并应予推广并使之主流化。     

On a confidence interval about a parameter estimated by a ratio of normal random variables

A confidence interval is geometrically constructed about a parameter estimated by the ratio of bivariate normal random variables. The resulting confidence interval is equivalent to that of Fieller's theorem. The geometric construction shown that such intervals are conservative. Bioassay examples are used to demonstrate the technique.     

一类二阶拟线性微分方程的非振动定理

考虑二阶拟线性微分方程 :( |y′|α -1y′)′+q(t) |y|α -1y=0 ,获得了在 q(t)振动的条件下该方程非振动的一些充分 (必要 )条件 ,改进和推广了已有文献的结果     

高校后勤社会化改革初探

高校后勤改革的方向是社会化。加快高校后勤社会化进程应转变观念 ,加大力度 ,多元筹资来加强基础设施建设。为保证后勤社会化改革的健康发展 ,还需要社会各方的关心与支持。     

Estimation of Correlation for Continuous Semimartingales

Abstract. In this study we are concerned with inference on the correlation parameter ρ of two Brownian motions, when only high‐frequency observations from two one‐dimensional continuous Itô semimartingales, driven by these particular Brownian motions, are available. Estimators for ρ are constructed in two situations: either when both components are observed (at the same time), or when only one component is observed and the other one represents its volatility process and thus has to be estimated from the data as well. In the first case it is shown that our estimator has the same asymptotic behaviour as the standard one for i.i.d. normal observations, whereas a feasible estimator can still be defined in the second framework, but with a slower rate of convergence.     

Serial unblocked designs balanced for correlation between neighbours,II

The theory in Part I contained an error that was inferred from the output of a program, written in SAS by Eric P. Smith and David D. Morris. The program produces random BUS designs in accordance with the algorithm of Part I. The theory is here corrected by using a combinatorial argument that involves elementary number theory. The algorithm needs no change but its interpretation is now adjusted.     

Variance bounds for estimators in autoregressive models with constraints

We consider nonlinear and heteroscedastic autoregressive models whose residuals are martingale increments with conditional distributions that fulfil certain constraints. We treat two classes of constraints: residuals depending on the past through some function of the past observations only, and residuals that are invariant under some finite group of transformations. We determine the efficient influence function for estimators of the autoregressive parameter in such models, calculate variance bounds, discuss information gains, and suggest how to construct efficient estimators. Without constraints, efficient estimators can be given by weighted least squares estimators. With the constraints considered here, efficient estimators are obtained differently, as one-step improvements of some initial estimator, similarly as in autoregressive models with independent increments.