1) null hypothesis and alternative hypothesis
原假设和备择假设
2) alternative hypothesis
备择假设
1.
According to the basic principle of hypothesis testing,three kinds of one sided hypothesis testing with the same reject region at the same significant level α are given and how to choose primary hypothesis and alternative hypothesis at the actual application and correlation are also pointed out.
根据假设检验的基本原理 ,给出 3种单侧假设检验在相同的显著性水平下具有相同的拒绝域 ,并指出在实际应用中如何选择原假设和备择假设及其相互关系 。
2.
In single-side hypothesis testing,the exchange of the null hypothesis and alternative hypothesis would induce two different testing results sometimes.
在单侧检验中,有时由于交换原假设与备择假设,会得到两个不同的假设检验结果。
3) checking hypothesis
备择假设
1.
This article states and analyzes the principles of hypothesis testing theoretically,and briefly expounds the setting principles of original hypothesis and checking hypothesis in hypothesis testing.
对假设检验的原理给出了解释和理论分析,并对假设检验中的原假设与备择假设的设定原则进行了阐述。
4) alternative hypothesis
择一假设;备择假设;另一假设
5) local alternative hypothesis
局部备择假设
1.
Asymptotic distributions of the test statistics are established under local alternative hypothesis.
Linearhypothesistestingincensoredregressionmodels基础上讨论了删失回归模型的线性假设检验问题 ,在局部备择假设成立时 ,给出了基于最小绝对偏差所构造的检验统计量的渐近分布 ,并对检验统计量的表现进行了统计模
6) alternative hypothesis
备选假设
1.
In order to perform rapidly and effectively for different size leak detection,a method is presented based on multi-sequential probability ratio test(M-SPRT),which alternative hypothesis is optimized through the objective function for detection time expectation,and the decision function is improved simultaneously.
提出了基于多序贯概率比检验法,并以检测各种泄漏所需时间的期望为目标函数来优化备选假设,同时对判决函数进行改进以达到迅速有效地检测出各类泄漏的目的。
2.
For example, it is difficult to identify the alternative hypothesis and it tends to have pipeline leak detection delay problems.
用于管道泄漏检测的序贯概率比(SPRT)检验法,存在着备选假设难以确定和易发生检验延迟的缺陷。
补充资料：备择假设
分子式：
CAS号：
性质：通过检验表征总体分布特性的数字特征平均值和方差对样本进行统计检验以确定各样本是否来自同一总体时，需事先做出两种统计假设。以检验平均值为例，一种是假设它们来自同一总体，该假设记为H0:μ1=μ2；另一种是假设非来自同一总体，此假设记为H1:μ1≠μ2。因为在检验时总是先假设是来自同一总体，因此将H0称为原假设。只有在根据样本值进行检验的结果，在一定置信度下与原假设v0有显著性矛盾时，才代之以接受另一假设H1，故将H1称为备择假设。
CAS号：
性质：通过检验表征总体分布特性的数字特征平均值和方差对样本进行统计检验以确定各样本是否来自同一总体时，需事先做出两种统计假设。以检验平均值为例，一种是假设它们来自同一总体，该假设记为H0:μ1=μ2；另一种是假设非来自同一总体，此假设记为H1:μ1≠μ2。因为在检验时总是先假设是来自同一总体，因此将H0称为原假设。只有在根据样本值进行检验的结果，在一定置信度下与原假设v0有显著性矛盾时，才代之以接受另一假设H1，故将H1称为备择假设。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条