hypothesis test

hypothesis test的基本解释

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假设检验

与hypothesis test相关的网络例句 [注：此内容来源于网络，仅供参考]

Relationship between null and alternative hypothesis; Level of significance; typical steps of hypothesis test, two type errors, critical values.

教学目的：通过学习领会统计假设测验即统计推断的原理及其基本步骤，统计假设测验的两类错误及其关系。

The common method, that all strong-correlation terms of the model are eliminated, can bring the loss in the engineering application, so the new method is proposed that the identified model reserves some correlation. The augmented matrix A is constructed by the outputΔW and the matrix S. The"determinating order based on ratio of determinant"is brought out to screen the strong-correlation terms in the structure identification. The latent root estimation is improved in screening the eigenvalues and eigenvectors. Thus the estimation precision is improved greatly.The consistence check of guidance instrument error coefficients of flight test and ground test is the purpose of flight experiment. The causes of inconsistency of the two models are analyzed. The hypothesis test of linear regression model based on F statistics is proposed to check the consistence.Finally, the instability of error coefficients is probably caused by the change of the flight environments, therefore, the relation between the error coefficients and flight environment is analyzed. The approach is presented to identify SINS guidance instrument error models and compensate the error in the segmented sections corresponding to the change of vertical acceleration of aircraft.

在结构辨识中，常用的方法由于将模型中的强相关项全部剔除而给工程应用带来损失，因此，本文提出了新的有益思想，即在保留一定相关性的基础上进行辨识：将输出向量ΔW与环境函数矩阵S构成增广矩阵A，然后采用"比定阶行列式"来剔除相关向量的方法，这样既可以尽可能多地保留了对落点影响大的强相关参数，又可以对落点影响小的强相关参数给予剔除；在参数估计中，改进了特征根估计中特征根和特征向量的筛选方法，提出"近零"准则，从而大大提高了参数估计的精度；再者，鉴于天地模型"一致性"检验是飞行试验和SINS制导工具误差系数分离的主要目的，因此，本文又深入分析了造成天地模型不一致的原因，提出了采用基于F统计的线性回归模型假设检验方法来进行捷联制导工具误差模型的天地"一致性"检验；最后，鉴于飞行环境剧烈变化可能会对惯性仪表误差系数稳定性带来一定的影响，因此本文深入地分析了SINS制导工具误差系数与外界环境的关系，提出了基于过载变化大小的分段辨识和分段实时补偿的算法。

After comparing the two type of tests,we came to some conclusions.The tests based on binomial test can be regarded as some kind of permutation tests under certain definition of "permutaton".If the tests are related to statistics,then whether they can be viewed as permutation tests depends on if the value of the probability,p,is known where p is the population parameter in the null hypothesis.For tests like Kolmogorov goodness-of-fit test,since the statistics is calculated based on empirical distribution function,hence no matter how we repermutate the observations,the order statistics is the same.This kind of tests can't be regarded as permutation tests.

我们得到的结论为：在一般的无母数检定中，如果检定与binomial test相关，基本上都可以视作排列检定的一种；与卡方检定相关的检定，基本上和p值已知或是未知有关，这个p值为原始假设下所要检定的母体机率值；其他检定如Kolmogorov goodness-of-fit test，由於统计量的值是根据empirical distribution function决定，而不论如何重新排列样本，其顺序统计量都不变，所以无法视为一种排列检定。

与hypothesis test相关的网络解释 [注：此内容来源于网络，仅供参考]

alternative hypothesis test：替换性假设测试

alternative hypothesis 择一假说,备择假设,备用主张 | alternative hypothesis test 替换性假设测试 | alternative importer 可替换的进口商

hypothesis test：假设检测

Statistical test 统计检验 | Hypothesis Test 假设检测 | Significance test 显著性检验

hypothesis test：假设测验

test of goodness of fit 适合性测验 | hypothesis test 假设测验 | null hypothesis 无效假设