M/Ph(JdZddlZddlZddlmZddlmZmZm Z d dZ d d Z dS) zb Created on Sun Sep 25 21:23:38 2011 Author: Josef Perktold and Scipy developers License : BSD-3 N)stats) array_like bool_likeint_likenormTct|dd}t|d}t|d}tj||}|j|}|r|dkr{tjtj|||}tjtj|d| |}||z |z } tj | } not|r$| |}|j |g|R} n>>"'!$"7"7"7>>Drvaad;;;TBBATQA q!!AA d^^ BXXa[[F$V$$$AA@AA A D>> L$V$$$AAJKK K !TAXA &16/Cd CI **C ;;-!& CdD"%%CI **C  " ")) C    3Z#%-RXqvg=N=N1NO F94 ( ( ( ))))))))))))))) B IsA/IIIc>t|dd|}|j|}|dd|z zd|dzz zz}tj|dkr|dkr.|d kr(dtjd d |zzd |dzzz z }n|d kr'dtjdd|zzd|dzzz z }n|dkr$tjdd|zz d|dzzz }n|dkr$tjdd|zz d|dzzz}nd}ntjgd}d}d}d} d} d} ||| | | g} tj||d } tjtj|z}td!D]"}| |k}| |||||<#||fS)"a Anderson-Darling test for normal distribution unknown mean and variance. Parameters ---------- x : array_like The data array. axis : int The axis to perform the test along. Returns ------- ad2 : float Anderson Darling test statistic. pval : float The pvalue for hypothesis that the data comes from a normal distribution with unknown mean and variance. See Also -------- statsmodels.stats.diagnostic.anderson_statistic The Anderson-Darling a2 statistic. statsmodels.stats.diagnostic.kstest_fit Kolmogorov-Smirnov test with estimated parameters for Normal or Exponential distributions. rT)r&r r rg?g@r皙?Zd;*)\HY@(\k@(\?A`Т SeE@MbM@333333? Ac]?V-@Gz? \m?t@Έ ?)r6r7r;r?cDtjtj|zS)N)rnan ones_likead2as r3znormal_ad..}sRVbl4&8&88cNdtjdd|zzd|dzzz z S)Nrr8r9r:rrexprJs r3rLznormal_ad..~s3Q ftm #ftqy&8 8":"::rMcNdtjdd|zzd|dzzz z S)Nrr<r=r>rrOrJs r3rLznormal_ad..s3Q Vd] "Vdai%7 7"9"99rMcHtjdd|zz d|dzzz S)Nr@rArBrrOrJs r3rLznormal_ad..s'RVFUT\$9D419.s'RVFUT\$9FTQYrls HHHHHHHHHH<<<<~??????rM