一阶转移Poisson模型参数的统计推断

分析了一阶转移Poisson模型，给出了参数估计的方法．理论分析结果表明，参数估计具有渐近正态性，方差矩阵的估计具有相合性．     

非对称DAR模型的估计与检验

本文研究非对称DAR模型的估计和检验问题.运用拟极大似然方法,构造模型的参数估计,在某些正则条件下,证明估计的相合性和渐近正态性.基于此,构造拟似然比统计量检验模型的非对称性,在原假设和备择假设下,给出该统计量的渐近分布.数值模拟和实证分析结果表明:本文所构造的模型参数估计和检验方法具有良好的有限样本性质.     

参数已知比例可加模型的有效估计

讨论了比例可加模型的非参数估计.利用局部线性方法和平均方法给出函数的平均估计,结合回切方法,定义了函数的有效估计,并研究了有效估计的相合性与渐近正态性.     

方差相关保费原理下风险保费的非参数估计

基于方差相关保费原理研究了聚合风险模型中方差相关保费的非参数估计,并证明了估计的相合性以及渐近正态性,最后,通过数值模拟的方法验证了估计的大样本性质,给出风险保费的渐近置信区间.     

参数已知比例可加模型的M-估计

讨论比例可加模型的非参数估计。首先,使用局部线性方法和平均方法给出了未知函数的初估计,然后利用回切方法,定义了未知函数及其导函数的M-估计;进一步,研究了该稳健的M-估计的弱相合性与渐近正态性。     

一维复指数信号模型中参数估计的Jackknife逼近

研究了一维带白噪声复值响应指数信号模型参数估计的Jackknife逼近,构造了其参数的Jackknife估计,证明了刀切估计值的强相合性和渐近无偏性,以及刀切虚拟值的渐近正态性.     

比例可加模型的参数估计

讨论了比例可加模型的参数估计.使用局部线性方法和平均方法定义了参数给定情况下未知函数的平均估计,然后使用回切方法和最小二乘法给出了未知参数向量的估计,并研究了参数估计的渐近正态性.     

参数已知比例可加模型的平均估计

讨论比例可加模型的非参数估计.首先,由局部线性方法给出初始值,然后,通过平均初估计定义了函数的平均估计;进一步,研究了平均估计的渐近正态性.     

一类双线性模型的参数估计

给出了一个ARCH型一阶双线性模型,利用随机过程的马尔科夫链,研究这种模型的严平稳遍历性和矩的存在性,结果表明这种模型存在唯一的严平稳解,并且这个解是几何遍历的,它的某一阶绝对矩存在. 基于此模型的参数估计, 提出该模型的拟极大似然估计, 运用Amemiya的相关定理, 研究拟极大似然估计的性质. 在一定的条件下, 得到了该拟极大似然估计具有相合性和渐近正态性.     

带有线性测量误差的半参数EV模型的估计

研究一类带有线性测量误差的半参数EV模型的估计问题.通过综合利用核光滑方法、修正最小二乘法和广义最小二乘法给出未知参数和未知函数的估计.在一般条件下,证明了未知参数估计的渐近正态性并给出了未知函数估计的收敛速度.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.