复合Linex对称损失下Kumaraswamy分布参数的Bayes估计

当参数的先验分布为伽玛分布时,在复合Linex对称损失函数下得到了Kumaraswamy分布参数θ的唯一的Bayes估计,多层Bayes估计和E-Bayes估计,并通过数值模拟说明了所给参数估计的稳健性和精确性.     

对数伽玛分布尺度参数的Bayes估计在LINEX与复合LINEX损失函数下的比较

在LINEX损失函数与复合LINEX损失函数下,研究对数伽玛分布尺度参数θ的Bayes估计、E-Bayes估计和多层Bayes估计.给出先验分布为伽玛分布和Jeffreys先验分布时的Bayes估计,进而给出先验分布为伽玛分布时的E-Bayes估计和多层贝叶斯估计.通过数据模拟检验参数的Bayes估计和E-Bayes估计的合理性及优良性,并且发现一些数据表中存在一定的规律.     

广义非参数回归的B样本贝叶斯估计

本文主要研究广义非参数模型B样条Bayes估计 .将回归函数按照B样条基展开 ,我们不具体选择节点的个数 ,而是节点个数取均匀的无信息先验 ,样条函数系数取正态先验 ,用B样条函数的后验均值估计回归函数 .并给出了回归函数B样条Bayes估计的MCMC的模拟计算方法 .通过对Logistic非参数回归的模拟研究 ,表明B样条Bayes估计得到了很好的估计效果     

熵损失函数下两参数指数威布尔分布尺度参数的Bayes估计

本文给定一截尾样本，在熵损失函数下，研究了两参数指数威布尔分布尺度参数在先验伽玛分布下的Bayes估计，并给出了该参数的Bayes区间估计。     

具有测量误差的非线性模型的Bayes估计

测量中大量的函数模型都是非线性回归模型．当回归变量含有一定的测量误差时，我们得到非线性测量误差模型．本讨论了这种模型中未知参数具有正态先验分布时的参数Bayes估计方法，并对这种估计进行了影响分析，证明了删除模型与均值漂移模型中参数的Bayes估计相同，利用Cook统计量给出了删除模型下参数的Bayes估计的影响度量．     

多级评分及其Bayes估计

对多级评分的测验题型 ,给出了其Bayes模型 ,在无信息先验分布或先验分布是Dirichlet分布情形下求出了参数的Bayes估计 ,并对后者在不同样本条件下给出了先验分布超参数的估计     

非平衡随机效应模型中方差分量的经验Bayes检验

本文研究了非平衡随机效应模型中方差分量的经验Bayes 检验问题. 利用多元密度函数核估计方法构造了参数的经验Bayes(EB)判决函数,证明了该判决函数的渐近最优性,得到了其收敛速度,并给出了一个满足本文结论条件的先验分布.     

Weibull分布步进应力加速寿命试验的Bayes估计

本文研究了定时和定数截尾情形CE模型下Weibull分布场合步进应力加速寿命试验的Bayes估计.利用加速系数和加速方程将各种加速应力水平下的尺度参数换算为正常应力水平下的尺度参数,从而获得含正常应力下尺度参数的似然函数.在参数先验的选取时,尺度参数和加速系数分别取共轭先验和无信息先验,当形状参数m<1和m>1时分别取Beta分布和Gamma分布作为其先验.在平方损失下,利用Gibbs抽样和切片抽样给出了该模型参数的Bayes估计.最后,通过Monte Carlo模拟表明该Bayes估计是有效的.     

附加信息与参数估计

<正> 参数估计是根据样本信息对总体未知参数作推断的一个基本形式,然而在理论上或应用上,人们往往对未知参数还具有一定量的附加信息,如果能充分利用这些信息,则可得到具有较好性质的估计量.在Bayes估计理论中,附加信息被概括在先验分布中,通过Bayes公式把先验分布中所蕴含的附加信息迭加在样本信息即似然函数之中,产生了后验分布。因此后     

非平方损失函数下Gamma部件可靠性的Bayes估计

Lwin和Singh对部件寿命x服从Г(t,λ,k)分布,当形状参数k已知,尺度参数未知时对部件可靠性进行Bayes估计。考虑到实际问题的需要,对损失函数应加上测度不变性的要求,本文取损失函数在参数λ的先验分布分别为指数Beta分布和Gamma分布的情况下,讨论了Gamma部件各项可靠性指标的Bayes估计,且把Lwin和Singh所做的结果看作本文的特例。设部件的寿命x服从其中:t>0,λ>0,k>0为已知的形状参数,尺度参数λ未知。那么部件的可靠度函数与平均寿命分别为:     

Estimation of the measure of the image of the ball

Under study is the class of ring Q-homeomorphisms with respect to the p-module. We establish a criterion for a function to belong to the class and solve a problem that stems from M. A. Lavrentiev [1] on the estimation of the measure of the image of the ball under these mappings. We also address the asymptotic behavior of these mappings at a point.     

On the distributions of the ratios of the extreme roots to the trace of the Wishart matrix

In this paper, the authors cosider the derivation of the exact distributions of the ratios of the extreme roots to the trace of the Wishart matrix. Also, exact percentage points of these distributions are given and their applications are discussed.     

On the rational approximation of the sum of the reciprocals of the Fermat numbers

Let $\mathcal{G}(z):=\sum_{n\geqslant0} z^{2^{n}}(1-z^{2^{n}})^{-1}$ denote the generating function of the ruler function, and $\mathcal {F}(z):=\sum_{n\geqslant} z^{2^{n}}(1+z^{2^{n}})^{-1}$ ; note that the special value $\mathcal{F}(1/2)$ is the sum of the reciprocals of the Fermat numbers $F_{n}:=2^{2^{n}}+1$ . The functions $\mathcal{F}(z)$ and $\mathcal{G}(z)$ as well as their special values have been studied by Mahler, Golomb, Schwarz, and Duverney; it is known that the numbers $\mathcal {F}(\alpha)$ and $\mathcal{G}(\alpha)$ are transcendental for all algebraic numbers α which satisfy 0<α<1. For a sequence u, denote the Hankel matrix $H_{n}^{p}(\mathbf {u}):=(u({p+i+j-2}))_{1\leqslant i,j\leqslant n}$ . Let α be a real number. The irrationality exponent μ(α) is defined as the supremum of the set of real numbers μ such that the inequality |α?p/q|<q ^?μ has infinitely many solutions (p,q)∈?×?. In this paper, we first prove that the determinants of $H_{n}^{1}(\mathbf {g})$ and $H_{n}^{1}(\mathbf{f})$ are nonzero for every n?1. We then use this result to prove that for b?2 the irrationality exponents $\mu(\mathcal{F}(1/b))$ and $\mu(\mathcal{G}(1/b))$ are equal to 2; in particular, the irrationality exponent of the sum of the reciprocals of the Fermat numbers is 2.     

Refinement of the asymptotics of the power of the quantile test

One investigates the asymptotic properties of the quantile test, similar to the properties of the Pearson's chi-square test of fit.Translated from Zapiski Nauchnykh Seminarov Leningradskogo Otdeleniya Matematicheskogo Instituta im. V. A. Steklova AN SSSR, Vol. 153, pp. 5–15, 1986.The author is grateful to D. M. Chibisov for useful remarks.     

On the approximation of positive operators and the behaviour of the spectra of the approximants

LetT be a positive linear operator on the Banach latticeE and let (S _n ) be a sequence of bounded linear operators onE which converge strongly toT. Our main results are concerned with the question under which additional assumptions onS _n andT the peripheral spectra (S _n ) ofS _n converge to the peripheral spectrum (T) ofT. We are able to treat even the more general case of discretely convergent sequences of operators.