CSP方案的中止规则［R］

本文引入中止概率的概念，讨论适用于各类连续抽样方案的中止规则［Ｒ］的统计特性。结果表明，规则［Ｒ］的添加不改变方案原有的基本统计特性，而且全面优于另一类已被广泛采用的规则［Ｓ］．     

CSP-V方案的特性参数及中止规则[R]

本文计算并给出连续抽样方案ＣＳＰ－Ｖ的三类特性参数，与ＡＯＱＬ相应的ＰＬ值，与操作特性值０．１相应的极限质量水平ＬＱ值，以及与ＡＱＬ，ＬＱ相应的中止概率Ｐ１，Ｐ２等。还讨论了在ＣＳＰ－Ｖ方案中以中止规则［Ｒ］代替现行中止规则［Ｓ］的可能性。     

CSP—1方案的中止概率曲线及其应用

本文结合国家标准ＧＢ８０５２—８７［１］，利用中止概率曲线的概念，讨论了连续抽样方案ＣＳＰ—１的中止检查规则及其统计特性，并提出了确定最优中止参数的原则和方法     

HORSESHOE EFFECT AND TOPOLOGICAL ENTROPYOFONE－DIMENSIONALMAPS

ＨＯＲＳＥＳＨＯＥＥＦＦＥＣＴＡＮＤＴＯＰＯＬＯＧＩＣＡＬＥＮＴＲＯＰＹＯＦＯＮＥ－ＤＩＭＥＮＳＩＯＮＡＬＭＡＰＳ＊ＸＩＬＩＦＥＮＧＡｂｓｔｒａｃｔ．Ｉｎｔｈｉｓｐａｐｅｒ，ｆｏｒａｎｙｃｏｎｔｉｎｕｏｕｓｆｕｎｃｔｉｏｎｆ：［０，１］→［０，１］，...     

广义［d，k］－自控序列的周期特性

广义［ｄ，ｋ］－自控序列的周期特性冯克勤（中国科学技术大学数学系，合肥２３００２６）李超（国防科学技术大学数学系，长沙４１０００３）ＰＥＲＩＯＤＩＣＰＲＯＰＥＲＴＩＥＳＯＦＴＨＥＧＥＮＥＲＡＬＩＺＥＤ［ｄ，ｋ］－ＳＥＬＦＣＯＮＴＲＯＬＬＥＤＳＥＱＵＥ...     

数学问题解答

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逐次有理L_2逼近

逐次有理Ｌ_２逼近潘杰（合肥工业大学）ＳＵＣＣＥＳＳＩＶＥＲＡＴＩＯＮＡＬＬ＿２－ＡＰＰＲＯＸＩＭＡＴＩＯＮ￥ＰａｎＪｉｅ（ＨｅｆｅｉＵｎｉｖｅｒｓｉｔｙｏｆＴｅｃｈｎｏｌｏｇｙ）Ａｂｓｔｒａｃｔ：Ｌｅｔｆｕｎｃｔｉｏｎｆ∈Ｌ２［ａ，ｂ］，ｒａｔｉｏ?..     

ON THE CLASSIFICATION OF AF-ALGEBRAS AND THEIR DIMENSION GROUPS （Ⅱ）

ＯＮＴＨＥＣＬＡＳＳＩＦＩＣＡＴＩＯＮＯＦＡＦ－ＡＬＧＥＢＲＡＳＡＮＤＴＨＥＩＲＤＩＭＥＮＳＩＯＮＧＲＯＵＰＳ（Ⅱ）￥ＨＵＡＮＧＺＨＡＯＢＯＡｂｓｔｒａｃｔ：Ｔｈｉｓｐａｐｅｒｉｓａｃｏｎｔｉｎｕａｔｉｏｎｏｆ［１］．Ｉｔｇｉｖｅｓｓｏｍｅａｐｐｌｉ...     

The Berry Esseen Bound and LIL of PP CM Statistics Testing Normal Distribution about Dimension and Sample Size

§１．ＩｎｔｒｏｄｕｃｔｉｏｎＳｕｐｐｏｓｅＸ１,Ｘ２,…,Ｘｎｉ．ｉ．ｄ～Ｎ（０,Ｉｐ）．ＳｅｔＱ（ｕ,ν）＝∫∞－∞［Ｉ［ｕｔ］－Φ（ｔ）］［Ｉ［νｔ］－Φ（ｔ）］（φ（ｔ））－１ｄｔ,ｗｈｅｒｅΦ（ｔ）ａｎｄφ（ｔ）ａｒｅ,ｒｅｓｐｅｃｔｉ...     

Computation of K0(RMNS_(θ,h))

§１．　ＩｎｔｒｏｄｕｃｔｉｏｎＴｈｅｐｕｒｐｏｓｅｏｆｔｈｉｓｐａｐｅｒｉｓｔｏｃｏｍｐｕｔｅｔｈｅＧｒｏｔｈｅｎｄｉｅｃｋｇｒｏｕｐｏｆＴ＝ＲＭＮＳ（θ，φ）．ＴｉｓｃａｌｌｅｄｔｈｅｒｉｎｇｏｆＭｏｒｉｔａＣｏｎｔｅｘｔｉｎｓｏｍｅｌｉｔｅｒａｔｕｒｅ（ｓｅｅ［１］）．Ｉｎ１９７４，ＱｕｉｌｌｅｎａｎｎｏｕｃｅｄｔｈａｔＫ０（ＲＭＯＳ）Ｋ０（Ｒ）Ｋ０（Ｓ）．ＵｐｔｏｔｈｅｐｒｅｓｅｎｔｍｏｍｅｎｔｔｈｅｒｅｓｔｉｌｌｅｘｉｓｔｓｎｏｉｎｆｏｒｍａｔｉｏｎｃｏｎｃｅｒｎｉｎｇＫ０（Ｔ）ｆ…     

带有中止检查规则（n－i）的CSP－1方案

本文引人转移概率母函数及幂级数等方法讨论带有中止规则（ｎ＊－ｉ）的连续抽样方案ＣＳＰ－１的中止概率Ｐ＊得到了Ｐ＊作为ＣＳＰ－１方案的度量的理论特性，证明了Ｄｏｄｇｅ型ＣＳＰ－１方案与带有中止规则（ｎ＊－ｉ）的ＣＳＰ－１方案具有相同的ＡＯＱ，ＡＦＩ，ＯＣ函数．文末还给出了一些数值结果．     

A note on optimal stopping of diffusions with a two-sided optimal rule

We consider a class of optimal stopping problems of diffusions with a two-sided optimal rule. We propose an approach for finding and characterizing the solution. We establish that the optimal stopping rule can be associated with the unique fixed point of an auxiliary function. The results are illustrated with an explicit example.     

Stopping Tests for Markov Chain Monte-Carlo Methods

Markov Chain Monte-Carlo methods produce a random sample of a given distribution by simulating a Markov chain for which the desired distribution is a reversible measure. In order to generate a sample of size n, we propose to run n independent copies of the chain all starting from the same initial state. If n is large enough, the cutoff phenomenon yields a natural stopping rule. Indeed, the access to equilibrium can be detected using empirical estimates for the expectation of a state function. The method is illustrated by the generation of random samples of stable sets on an undirected graph.     

Sequential Estimation of the Maximum in a Model for Corrosion Data

One method of monitoring corrosion in an underground storage tank involves placing a sensor in the tank and running it around the tank's interior. As it runs, the sensor records the local thickness of the tank. In this paper we consider the problem of estimating the maximum pit depth by providing a confidence interval that achieves both a specified confidence level and a specified degree of precision. A particular model, the three-parameter beta, is considered, and a stopping rule for determining the sample size is proposed. It is shown that the stopping rule achieves the desired confidence level and precision, asymptotically as the precision requirement becomes increasingly stringent. Moreover, the stopping rule is asymptotically efficient in terms of sample size. The limiting distribution of the stopping rule is derived, and simulation results are presented to supplement the asymptotics with finite sample size behavior.     

Existence and explicit determination of optimal stopping times

We consider large classes of continuous time optimal stopping problems for which we establish the existence and form of the optimal stopping times. These optimal times are then used to find approximate optimal solutions for a class of discrete time problems.     

Optimal stopping for extremal processes

For an extremal process (Z_t)_t the optimal stopping problem for X_t = f(Z_t)?g(t) gives the continuous time analogue of the optimal stopping problem for max{Y₁,…,Y_k}?c_k where Y₁, Y₂,… are i.i.d. For the continuous time problem we derive optimal stopping times in explicit form and also show that the optimal stopping boundary is the limit of the optimal stopping boundaries for suitably standardized discrete problems.     

NONDESCENT SUBGRADIENT METHOD FOR NONSMOOTH CONSTRAINED MINIMIZATION

A kind of nondecreasing subgradient algorithm with appropriate stopping rule has been proposed for nonsmooth constrained minimization problem. The dual theory is invoked in dealing with the stopping rule and general global minimiizing algorithm is employed as a subroutine of the algorithm. The method is expected to tackle a large class of nonsmooth constrained minimization problem.     

A note on random times

A generalisation of the notion of stopping time is stated, and related to similar generalisations introduced by Bahadur, Kemperman, Siegmund and others with a view to permitting auxilliary experimentation to enter into the definition of stopping rule. The main aim of this note is to draw attention to the conditional independence implicit in the definitions of these writers, and briefly indicate some consequences of this.     

Loeb空间上一类右连续过程最优停止的非标准表示

本文在Loeb空间上得到了右连续左半上连续的随机过程的SRC提升．证明了一个内过程的S-最优停止的存在性,并得到了它的结构性表示．最后证明了一个过程SRC提升的S-最优停止的标准部分即为对应标准过程的最优停止,在Loeb空间上推广了[8]中的结果．