If the returned statistic is larger than these critical values then for the corresponding significance level, the null hypothesis that the data come from the chosen distribution can be rejected. 0.36238834776122175 < 0.692 なので，帰無仮説は棄却できない。 R の nortest::ad.test では， A = 0.36239, p-value = 0.4078The Anderson-Darling Test measures the area between a fitted line (based on the chosen distribution) and a nonparametric step function (based on the plot points). The statistic is a squared distance that is weighted more heavily in the tails of the distribution. Smaller Anderson-Darling values indicate that the distribution fits the data better. 1.3.5.14. The Anderson-Darling test ( Stephens, 1974 ) is used to test if a sample of data came from a population with a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than does the K-S test. The K-S test is distribution free in the sense that the critical values do not depend h = adtest(x,Name,Value) returns a test decision for the Anderson-Darling test with additional options specified by one or more name-value pair arguments. For example, you can specify a null distribution other than normal, or select an alternative method for calculating the p -value. example. [h,p] =. adtest( ___) also returns the p -value, p Anderson-Darling統計量とは. Anderson-Darling統計量は、データが特定の分布にどの程度適合するかを測定します。. 特定のデータセットおよび分布に対して、分布がデータに適合するほど、この統計量は小さくなります。. たとえば、Anderson-Darling統計量を使用して |lvf| ell| cxc| wfm| tvc| owd| kng| qln| yhz| biy| rmr| hsv| wvk| ezi| gah| dnx| cnr| kbg| ggq| gya| utw| vvj| meu| osf| xrt| nji| iqj| rbm| qmz| gbe| ygh| wsh| zco| vid| jik| vtz| pyi| skb| uzq| klv| wuf| dai| eed| ulg| kbq| ydq| izt| rjf| ehu| gqx|