备择假设

试验考察了零假设和备择假设下等位基因频率的变化。

The fluctuations of allele frequency were obtained under the null hypothesis and alternative hypothesis .

无论何时，拒绝无效假设时，我们所接受的结论叫做备择假设。

Whenever we reject the null hypothesis , the conclusion we do accept is called the alternative hypothesis .

在此基础上，我们使用类似于JiangandLiu（2004）中的方法，用部分后验概率来衡量两个备选模型（原假设和备择假设）的可能性。

Following a similar manner suggested in Jiang and Liu ( 2004 ), the possibility of each candidate model is evaluated based on partial posterior probability .

关于“假设检验”中原假设与备择假设的讨论

Discussion on the Original Hypothesis and Checking Hypothesis in the Hypothesis Testing

有否考虑数据的所有可能解释，是否存在也能解释数据的备择假设？

Do the figures and tables show essential data or are there any that could easily be summarized in the text ?

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。

In single-side hypothesis testing , the exchange of the null hypothesis and alternative hypothesis would induce two different testing results sometimes .

所提出的检验对于所有光滑的备择假设是相容的并且关于随机误差的分布是分布自由的。

The test proposed are consistent against all fixed smooth alternatives to linearity and are asymptotically distribution-free for the distribution of the error .

因此，先从理论上对检验结果进行分析，然后结合实例来阐述建立原假设和备择假设的一些方法。

The different testing results from the theories are analyzed , some methods on how to establish null hypothesis and alternative hypothesis are formulates with some examples .

本文分析了在单边假设检验中由于将原假设与备择假设交换所引发的问题，提出应以辨证的观点来看待；

In this article we will analyze the problems , from the point of dialectics , caused by changing original hypothesis with choice hypothesis in unilateral hypothesis - test .

以新的视角对假设检验中的两个假设进行了剖析，提出了如何确定零假设与备择假设的方法。

In this paper , the author analyzes two hypotheses on hypothetic testing from a new view , At the same time , how to device the method is put forward .

在备择假设成立时证明了检验的一致性，并给出变点个数和变点位置的相合估计。

Under the alternative hypothesis , we also obtained the consistent estimation of the number and location of the change points . Examples of thresholding empirical wavelet coefficients to test change points are presented .

本研究的备择假设为：经过网络学习策略培训，实验组和对照组受试的网络学习成效产生了显著差异。

Alternative hypothesis in this study , therefore , is : there is systematic difference in the learning outcomes between the experimental group treated with e-learning strategy training and the control group without e-learning strategy training .

根据模糊模式识别原理，采用最大总体平均隶属优势准则，可实现对抽油机寿命统计模型的多个备择假设分布进行一次性检验。

The one shot verification of the multi-spare selected hypothesis distribution for the well pumping unit life statistical mode could be realized by using the fuzzy pattern recognition principle and the maximum total mean subordinate superiority standard .

另一方面具有得分型检验的优良性质，比如：检验在零假设下是渐近卡方的，能检测到以参数的速度收敛到零假设的方向备择假设。

On the other hand , the resulted test shares many desirable feathers of score-type tests : it is asymptotically chi-squared under the null hypothesis and can detect the alternatives converging to the null at a parametric rate .

采用常规假设检验和模糊识别相结合的方法，对子系统故障数据统计分布的多个备择假设分布进行统计推断，使子系统寿命统计模型具有较高的可信度。

Adopting ordinary suppose test and faintness identification , the multi_selected suppose distribution in the digital failure simulation of the subsystem was counted up and concluded , and a statistical model with high reliability of the subsystem was obtained .

给出复情形下生长曲线模型球性检验似然比统计量与原假设相近的两类备择假设下的非零渐近分布。

This paper gives asymptotic expansions of the non-null distributions of the likelihood ratio criterion for test - ing sphericity under two sequences of alternative hypotheses that approach the null hypothesis in a growth curve model in the complex case .

本文给出了复生长曲线模型中球性检验的似然比准则在零假设相接近的备择假设下分布的渐近表示式。

In this paper , asymptotic of the distribution of the likelihood ratio statistic for testing sphericity under a growth curve model in the complex case have been derived in the null and nonnull case when the alternatives are close to the null hypothesis .

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。

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 .