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- Empirical Bayes Test for the Life Parameter in the Exponential Distribution 指数分布中寿命参数的经验贝叶斯检验
- Empirical Bayes test for the one-parameter continuous exponential family 连续型单参数指数族的经验贝叶斯检验
- Empirical Bayes Test for Truncation Parameters with Asymmetric Loss Functions Using NA Samples 样本下非对称损失函数截尾参数的经验Bayes检验
- On the Empirical Bayes Test Problem for One-side Truncation Parameters with Asymmetric Loss Functions 非对称损失下单边截断分布族参数的经验Bayes检验问题
- Two-sided Empirical Bayes Test for the Parameter of One-side Truncated Distribution Families with Linex Loss 一类单边截断型分布族参数的双侧经验Bayes检验问题
- THE EMPIRICAL BAYES TEST PROBLEM FOR SCALE EXPONENTIAL FAMILY: IN THE CASE OF NA SAMPLES 刻度指数族参数的经验Bayes检验问题: NA样本情形
- Empirical Bayes Test Problem for the Parameter of Linear Exponential Distribution in the Case of Negatively Associated Samples 负相伴样本情形线性指数分布参数的经验Bayes检验问题
- The empirical Bayes test problem for continuous one-parameter exponential family in the case of negatively associated samples 负相伴样本情形连续型单参数指数族参数的经验Bayes检验问题
- empirical Bayes test 经验Bayes检验
- In this paper,the empirical Bayes(EB) two-sided test problem of shape parameter for Gamma distribution families in the case of identically distributed and negatively associated (NA) samples is investigated. 本文研究了NA样本情形下;伽玛分布族形状参数的经验Bayes(EB)双边检验问题.
- We proved that some empirical Bayes estimators are the best or the best conditional unbiased. 证明了所给出的经验贝叶斯估计量是最优或条件最优无偏预测量。
- Empirical Bayes estimation (EBE) and maximum likelihood estimation (MLE) of reliability index are given, respectively. 分别给出了系统可靠性指标的经验 Bayes 估计,极大似然估计。
- Next, two useful empirical Bayes models for categorical data in manufacturing are introduced. 然后我们简介可用于制程中类别资料的两个有用的经验贝氏模型。
- Under suitable conditions we obtained precise asymptotic behavior of linear empirical Bayes estimator and its conditional Bayes risk. 在适当条件下,证得了线性经验Bayes估计和它的条件Bayes风险的精确渐近结构。
- We consider a couple of unimodal priors on the change-point first and use ML-II approach to obtain the empirical Bayes estimators in this paper. 本文首先考量一些常用的单峰前验分布，其次使用第二型最大概似估计藉以求得经验贝氏估计量。
- Utilizing the likelihood ratio method, both Bayesian and empirical Bayes monitoring techniques are proposed as the main purpose of the paper. 利用概似比的方法，提出贝氏和经验贝氏制程监控技术来作为本篇论文的主要目的。
- In the paper, first of all, a model selection technique between two empirical Bayes models for categorical data in manufacturing is proposed. 摘要:在本篇论文中，首先我们提出一个对于制程中的类别资料在两个经验贝氏模型中的模型选取技术。
- Then an empirical Bayes approach is proposed when there are available in-control categorical data generated from the manufacturing process. 然后在可以得到制程控制下所产生的某些类别资料时，提出一个经验贝氏的方法。
- A simple test will show if this is real gold. 简单的试验就能证明这是否是真金。
- Secondly, under the square loss, we construct the asymptotically optimal and admissible empirical Bayes estimator of the mean for normal distribution, theconvergence rate O(n~(-1)) is also obtained. 其次,在平方损失下构造了正态分布均值的渐近最优和可容许的经验Bayes估计,并得到了其收敛速度为O(n~(-1))。
