线性指数分布参数的经验Bayes检验问题

分别讨论了线性指数分布参数的经验Bayes(EB)单侧和双侧检验问题.利用概率密度函数的核估计分别构造了参数的经验Bayes检验函数,在适当的条件下证明了所提出的经验Bayes检验函数的渐近最优(a.o.)性并获得了它的收敛速度.最后,给出一个有关主要结果的例子.     

Kumaraswamy分布的经验Bayes检验

主要对Kumaraswamy分布分别在绝对值损失和加权平方损失下利用核估计构造了参数相应的经验Bayes(EB)单侧检验函数,在适当的条件下证明了所提出的EB检验函数是渐近最优的,并获得了EB检验函数的收敛速度.     

基于纵向数据下连续型单参数指数族参数的经验贝叶斯检验(英文)

本文讨论了在纵向数据下,运用非参数估计方法构造了连续型单参数指数族参数的经验贝叶斯检验函数,证明了所提出的经验贝叶斯检验函数的渐近最优性,并获得了它的收敛速度.     

负相伴样本情形线性指数分布参数的经验Bayes检验问题

讨论了负相伴样本情形线性指数分布参数的经验Bayes(EB)单侧检验问题.利用概率密度函数的核估计构造了参数的经验Bayes单侧检验函数,在适当的条件下证明了所提出的经验Bayes检验函数的渐近最优(a.o.)性并获得了其收敛速度.最后给出一个有关主要结果的例子.     

截断型分布族参数经验Bayes检验的收敛速度

§ 1.　Introduction　　SupposethatrandomvariableXhaspdf(forLebesguemeasure)f(x｜θ) =u(x)m(θ)I(θ ,b) (x) ,(1 )whereθ>a≥ 0 ,θisthetruncationparameterofourinterestandb≤+∞ ,u(x)ispositiveLebesgueintegrablefunctionon (θ,b) ,m(θ) =[∫bθ(u(x)dx] - 1 .ThehypothesistobetestedisH0 ;θ≤θ0 H1 :θ >θ0 , (2 )whereθ0 isaknownconstant.LetlossfunctionisL(θ ,a0 ) =b0 max(θ -θ0 ,0 )foracceptingH0 andL(θ,a1 ) =b0 max(θ0 -θ,0 )foracceptingH1 ,whereb0 isapositiverealnumber,D ={a0 ,a1 }isth…     

Monotone Empirical Bayes Test for the Exponential Distribution

We study the two-action problem in the exponential distribution via empirical Bayes (EB) approach. Based on typeⅡcensored samples, we construct an EB test rule and obtain an optimal rate of convergence which much improves the existing results in the literature.     

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In this paper, the empirical Bayes (EB) two-sided test for parameter of Cox models is investigated under square loss functions. At first by using recursive kernel estimation of probability function the empirical Bayes two-sided test rule is constructed. It proves that the proposed empirical Bayes test rule is asymptotic optimal and convergence rates are obtained under suitable conditions. Finally an example of satisfying theorem conditions is given.     

负相伴样本情形线性指数分布参数的经验Bayes双侧检验问题

本文讨论了负相伴样本情形线性指数分布参数的经验Bayer(EB)双侧检验问题,利用概率密度函数的核估计构造了参数的经验Bayes检验函数,在适当的条件下证明了所提出的经验Bayes检验函数的渐近最优(a.o)性并获得了它的收敛速度,最后,给出一个有关本文主要结果的例子。     

正态分布参数的渐近最优与可容许的经验Bayes估计

Under square loss,this paper constructs the empirical Bayes(EB) estimation for the parameter of normal distribution which has both asymptotic optimality and admissibility. Moreover,the convergence rate of the EB estimation obtained is proved to be O(n~(-1)).     

绝对值损失下单边截断型分布族参数的经验Bayes估计

本文在绝对值损失下,构造了单边截断型分布族参数的EB估计,并证明了在一组条件下,其Bayes风险的收敛速度为0((ln n/n)~(λγ/(2r+))·M_n),其中0<λ,γ≤1,M_n≤ln ln n(n充分大),M_n为一无穷大量。     

Convergence Rate of Empirical Bayes for Two-parameter Exponential Distribution with Replicated Data

In this paper, empirical Bayes test for a parameter θ of two-parameter exponential distribution is investigated with replicated past data. Under some conditions, the asymptotically optimal property is obtained. It is indicated that the rate of convergence can be very close to O（N-2^-1） in this case that a parameter μ is known.     

Empirical Bayes Test for the Parameter of the Truncated-Type Distribution Families

The empirical Bayes test (EBT) is proposed for testing H₀ : ₀ H₁ : > ₀ in the truncated-type distribution families. It is found that the EBT proposed is obtained asymptotically optimal and its convergence rate is also obtained.AMS Subject Classification (2000) 62J10, 62G99     

一类可靠性分布参数的经验Bayes决策分析

在弱平稳α-混合样本下利用概率密度函数的核估计构造了伽玛分布族参数的经验Bayes(EB)检验函数,并获得了它的渐进最优(a.o.)性.在适当的条件下证明了所提出的EB检验函数收敛速度可任意接近O(n~(-1/2)).     

广义Pareto分布参数的经验Bayes检验问题

讨论了独立同分布样本情形广义Pareto分布参数的经验Bayes单侧检验问题,利用核密度函数的核估计构造了参数的经验Bayes检验函数,并在一定的条件下,证明了此经验Bayes检验函数的渐近最优性,获得了其收敛速度.     

Linex损失下二维单边截断型分布族参数的经验Bayes估计

在linex损失函数下,讨论边二维单边截断型分布族参数的经验Bayes(EB)估计问题,文中构造了参数的EB估计,在适当的条件下给出了该估计的收敛速度。并说明在较强条件下收敛速度可充分接近1。     

单边截断分布族参数的经验Bayes检验：NA样本情形

本文运用同分布NA样本密度函数的核估计,构造一类单边截断型分布族参数的经验Bayes检验,讨论它的渐近最优性,建立其收敛速度,在适当的条件下,证明了该收敛速度可以任意接近于1,最后给出适合定理条件的一个例子。     

指数分布中寿命参数的经验贝叶斯检验

本文中,我们利用经验贝叶斯方法研究了指数分布中寿命参数的检验问题.对于假设H0∶θ≤θ0 H1∶θ>θ0,在线性误差损失下,利用两种不同的核估计方法,我们获得了贝叶斯检验风险的同样上界.本文获得的收敛速度优于文献中的早期结果.     

Empirical Bayes test for scale exponential family

In this paper, we consider the empirical Bayes (EB) test problem for the scale parameters in the scale exponential family with a weighted linear loss function. The EB test rules are constructed by the kernel estimation method. The asymptotical optimality and convergence rates of the EB test rules are obtained. The main results are illustrated by applying the proposed test to type II censored data from the exponential distribution and to the test problem for the dispersion parameter in the linear regression model. __________ Translated from Journal of University of Science and Technology of China, 2004, 34(1): 1–10     

Empirical Bayes Procedures for Selecting the Best Population with Multiple Criteria

Consider k (k 2) populations whose mean _i and variance _i ² are all unknown. For given control values ₀ and ₀ ² , we are interested in selecting some population whose mean is the largest in the qualified subset in which each mean is larger than or equal to ₀ and whose variance is less than or equal to ₀ ² . In this paper we focus on the normal populations in details. However, the analogous method can be applied for the cases other than normal in some situations. A Bayes approach is set up and an empirical Bayes procedure is proposed which has been shown to be asymptotically optimal with convergence rate of order O(ln² n/n). A simulation study is carried out for the performance of the proposed procedure and it is found satisfactory.