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- A Study on Theory of Testing Statistical Hypotheses 统计假设检验理论的若干问题研究
- testing statistical hypothesis 统计假说的检验
- Shi, N.-Z. and Tao, J.(2008). Statistical Hypothesis Testing: Theory and Methods, World Scientific Publishing Co. Pte. Ltd. 史宁中(2006).;教育与数学教育;东北师范大学出版社
- This paper discribes some models of reliability and statistical test based on the stochastic process and the theory of statistical hypothesis, as well as the failure data of repairable systems. 根据随机过程与统计假设理论,在分析可修复系统故障数据特点的基础上,阐述了可修复系统故障数据的可靠性分析模型。
- Testing Statistical Hypotheses 分布假设检验
- Method of statistical hypothesis testing 统计假设检验法
- testing of statistical hypothesis 统计假设的检验,统计假设检验
- The generalized likelihood ratio (GLR) test statistic under the null hypothesis is derived, and it is shown to be asymptotically normal. 计算出了零假设下广义似然比(GLR)检验统计量的表达式，给出了它的渐近分布，并对结果进行了模拟。
- On Study of Two Types of Errors in Statistical Hypothesis Testing 统计假设检验中的两类错误
- Non-parameter methods such as Ridit test method and wilcoxon test method can make sensory test statistical analysis efficient. 产品感官检验测试结果通常是计数资料或等级资料,这些检验结果用参数统计方法往往很难,甚至无法处理。
- We deduce a statistics based on Bartlett testing statistics to test the hypothesis that all shape parameters are equal. And we give the statistics a refusal area and study its effect by simulations. 对形状参数相等这一假定，利用Bartlett检验统计量的构造，给出了用于检验形状参数是否相等的检验统计量及其拒绝域，并随机模拟了该检验统计量的效果。
- admissible statistical hypothesis 容许统计假设
- A Brief Analysis of Statistical Hypothesis 简析统计假设的两个问题
- composite statistical hypothesis 合成统计假设
- - inferring and testing statistical parameters; -推论与检定母群体;
- 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。
- Based on the MLE. of N,t he interval estimation and test statistics of N are given. 并在极大似然估计的基础上给出了 N的区间估计及检验统计量 .
- Results The dependence between the parents transmissions has no effect on the distribution of test statistic. 结果亲代传递的不独立性并不影响检验统计量的统计特性。
- sequential test of statistical hypotheses 统计假设序贯检验
- Reason No. 1: We may prefer to report the usual OLS standard errors and test statistics unless there is evidence of heteroskedasticity. 理由1：除非有证据显示异方差存在，我们仍会偏好于常规OLS的标准差及检验统计量。
