{"id":873,"date":"2023-07-28T11:36:25","date_gmt":"2023-07-28T11:36:25","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%ae%89%e5%be%b7%e6%a3%ae%c2%b7%e5%88%87%e9%87%8c%e6%b5%8b%e8%af%95python\/"},"modified":"2023-07-28T11:36:25","modified_gmt":"2023-07-28T11:36:25","slug":"%e5%ae%89%e5%be%b7%e6%a3%ae%c2%b7%e5%88%87%e9%87%8c%e6%b5%8b%e8%af%95python","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%ae%89%e5%be%b7%e6%a3%ae%c2%b7%e5%88%87%e9%87%8c%e6%b5%8b%e8%af%95python\/","title":{"rendered":"\u5982\u4f55\u5728 python \u4e2d\u6267\u884c anderson-darling \u6d4b\u8bd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Anderson-Darling \u68c0\u9a8c<\/strong>\u662f\u4e00\u79cd\u62df\u5408\u4f18\u5ea6\u68c0\u9a8c\uff0c\u7528\u4e8e\u8861\u91cf\u6570\u636e\u4e0e\u6307\u5b9a\u5206\u5e03\u7684\u62df\u5408\u7a0b\u5ea6\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b64\u68c0\u9a8c\u6700\u5e38\u7528\u4e8e\u786e\u5b9a\u6570\u636e\u662f\u5426\u670d\u4ece<a href=\"https:\/\/statorials.org\/cn\/\u6b63\u6001\u5206\u5e03-1\/\" target=\"_blank\" rel=\"noopener\">\u6b63\u6001\u5206\u5e03<\/a>\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u79cd\u7c7b\u578b\u7684\u68c0\u9a8c\u5bf9\u4e8e\u68c0\u9a8c\u6b63\u6001\u6027\u975e\u5e38\u6709\u7528\uff0c\u6b63\u6001\u6027\u662f\u8bb8\u591a\u7edf\u8ba1\u68c0\u9a8c\u4e2d\u5e38\u7528\u7684\u5047\u8bbe\uff0c\u5305\u62ec<a href=\"https:\/\/statorials.org\/cn\/\u7ebf\u6027\u56de\u5f52-python\/\" target=\"_blank\" rel=\"noopener\">\u56de\u5f52<\/a>\u3001<a href=\"https:\/\/statorials.org\/cn\/python-\u5355\u5411\u65b9\u5dee\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">\u65b9\u5dee\u5206\u6790<\/a>\u3001 <a href=\"https:\/\/statorials.org\/cn\/\u7edf\u8ba1\u5b66\u4ee5\u7b80\u5355\u76f4\u63a5\u7684\u65b9\u5f0f\u89e3\u91ca\u6982\u5ff5\uff0c\u6211\u4eec\u4f7f\u5b66\u4e60\u7edf\u8ba1\u53d8\u5f97\u66f4\u5bb9\u6613\/\" target=\"_blank\" rel=\"noopener\">t \u68c0\u9a8c<\/a>\u7b49\u3002<\/span><\/p>\n<h3><strong>\u793a\u4f8b\uff1aPython \u4e2d\u7684 Anderson-Darling \u6d4b\u8bd5<\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u8981\u5728 Python \u4e2d\u6267\u884c Anderson-Darling \u6d4b\u8bd5\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 scipy.stats \u5e93\u4e2d\u7684<a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.anderson.html\" target=\"_blank\" rel=\"noopener\">anderson() \u51fd\u6570<\/a>\uff0c\u8be5\u51fd\u6570\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff1a<\/span><\/p>\n<p><strong><span style=\"color: #000000;\">\u5b89\u5fb7\u68ee(x, dist=&#8217;norm&#8217;)<\/span><\/strong><\/p>\n<p><span style=\"color: #000000;\">\u91d1\u5b50\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x<\/strong> \uff1a\u6837\u672c\u6570\u636e\u8868<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>dist<\/strong> \uff1a\u8981\u6d4b\u8bd5\u7684\u5206\u5e03\u7c7b\u578b\u3002\u9ed8\u8ba4\u503c\u4e3a\u201c\u6807\u51c6\u201d\uff0c\u4f46\u60a8\u4e5f\u53ef\u4ee5\u6307\u5b9a\u201cexpon\u201d\u6216\u201c\u540e\u52e4\u201d\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u4ee5\u4e0b\u662f\u5982\u4f55\u5bf9 50 \u4e2a\u6b63\u6001\u5206\u5e03\u968f\u673a\u53d8\u91cf\u7684\u6837\u672c\u6267\u884c Anderson-Darling \u68c0\u9a8c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create data<\/span>\nnp.random.seed(0)\ndata = np.random.normal(size=50)\n\n<span style=\"color: #008080;\">#perform Anderson-Darling Test<\/span> \n<span style=\"color: #107d3f;\">from<\/span> scipy.stats <span style=\"color: #107d3f;\">import<\/span> anderson\nanderson(data)\n\nAndersonResult( <span style=\"color: #3366ff;\">statistic<\/span> =0.15006999533388665,\n               <span style=\"color: #3366ff;\">critical_values<\/span> =array([0.538, 0.613, 0.736, 0.858, 1.021]),\n               <span style=\"color: #3366ff;\">significance_level<\/span> =array([15. , 10. , 5. , 2.5, 1. ]))\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u68c0\u9a8c\u7edf\u8ba1\u91cf\u4e3a<strong>0.150<\/strong> \u3002\u6211\u4eec\u53ef\u4ee5\u5c06\u8be5\u503c\u4e0e\u6bcf\u4e2a\u663e\u7740\u6027\u6c34\u5e73\u5bf9\u5e94\u7684\u6bcf\u4e2a\u4e34\u754c\u503c\u8fdb\u884c\u6bd4\u8f83\uff0c\u4ee5\u67e5\u770b\u6d4b\u8bd5\u7ed3\u679c\u662f\u5426\u663e\u7740\u3002\u4f8b\u5982\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u03b1 = 0.01 \u7684\u4e34\u754c\u503c\u4e3a<strong>1.021<\/strong> \u3002\u7531\u4e8e\u68c0\u9a8c\u7edf\u8ba1\u91cf (0.150) \u4e0d\u5927\u4e8e\u6b64\u4e34\u754c\u503c\uff0c\u56e0\u6b64\u7ed3\u679c\u5728 0.01 \u663e\u7740\u6027\u6c34\u5e73\u4e0b\u4e0d\u663e\u7740\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u03b1 = 0.025 \u7684\u4e34\u754c\u503c\u4e3a<strong>0.858<\/strong> \u3002\u7531\u4e8e\u68c0\u9a8c\u7edf\u8ba1\u91cf (0.150) \u4e0d\u5927\u4e8e\u6b64\u4e34\u754c\u503c\uff0c\u56e0\u6b64\u7ed3\u679c\u5728 0.025 \u663e\u7740\u6027\u6c34\u5e73\u4e0a\u4e0d\u663e\u7740\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7b49\u7b49\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c\u68c0\u9a8c\u7ed3\u679c\u5728\u4efb\u4f55\u663e\u7740\u6027\u6c34\u5e73\u4e0a\u90fd\u4e0d\u663e\u7740\uff0c\u8fd9\u610f\u5473\u7740\u6211\u4eec\u4e0d\u4f1a\u62d2\u7edd\u68c0\u9a8c\u7684\u539f\u5047\u8bbe\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u6ca1\u6709\u8db3\u591f\u7684\u8bc1\u636e\u8868\u660e\u91c7\u6837\u6570\u636e\u4e0d\u5448\u6b63\u6001\u5206\u5e03\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u9274\u4e8e\u6211\u4eec\u4f7f\u7528<strong>np.rand.normal()<\/strong>\u51fd\u6570\u751f\u6210 50 \u4e2a\u6b63\u6001\u5206\u5e03\u503c\u7684\u6837\u672c\uff0c\u8fd9\u4e2a\u7ed3\u679c\u5e94\u8be5\u4e0d\u8db3\u4e3a\u5947\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u76f8\u53cd\uff0c\u8003\u8651\u4e00\u4e0b\u6211\u4eec\u662f\u5426\u5bf9 0 \u5230 10 \u4e4b\u95f4\u7684 50 \u4e2a\u968f\u673a\u6574\u6570\u6837\u672c\u6267\u884c Anderson-Darling \u68c0\u9a8c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create data<\/span>\nnp.random.seed(0)\ndata = np.random.randint(0, 10, size=50)\n\n<span style=\"color: #008080;\">#perform Anderson-Darling Test<\/span> \n<span style=\"color: #107d3f;\">from<\/span> scipy.stats <span style=\"color: #107d3f;\">import<\/span> anderson\nanderson(data)\n\nAndersonResult( <span style=\"color: #3366ff;\">statistic<\/span> =1.1926463985076836,\n               <span style=\"color: #3366ff;\">critical_values<\/span> =array([0.538, 0.613, 0.736, 0.858, 1.021]),\n               <span style=\"color: #3366ff;\">significance_level<\/span> =array([15. , 10. , 5. , 2.5, 1. ]))\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u68c0\u9a8c\u7edf\u8ba1\u91cf\u4e3a<strong>1.1926<\/strong> \u3002\u6211\u4eec\u53ef\u4ee5\u5c06\u8be5\u503c\u4e0e\u6bcf\u4e2a\u663e\u7740\u6027\u6c34\u5e73\u5bf9\u5e94\u7684\u6bcf\u4e2a\u4e34\u754c\u503c\u8fdb\u884c\u6bd4\u8f83\uff0c\u4ee5\u67e5\u770b\u6d4b\u8bd5\u7ed3\u679c\u662f\u5426\u663e\u7740\u3002\u4f8b\u5982\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u03b1 = 0.01 \u7684\u4e34\u754c\u503c\u4e3a<strong>1.021<\/strong> \u3002\u7531\u4e8e\u68c0\u9a8c\u7edf\u8ba1\u91cf (1.1926) \u5927\u4e8e\u6b64\u4e34\u754c\u503c\uff0c\u56e0\u6b64\u7ed3\u679c\u5728 0.01 \u663e\u7740\u6027\u6c34\u5e73\u4e0a\u663e\u7740\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u03b1 = 0.025 \u7684\u4e34\u754c\u503c\u4e3a<strong>0.858<\/strong> \u3002\u7531\u4e8e\u68c0\u9a8c\u7edf\u8ba1\u91cf (1.1926) \u5927\u4e8e\u6b64\u4e34\u754c\u503c\uff0c\u56e0\u6b64\u7ed3\u679c\u5728 0.025 \u663e\u7740\u6027\u6c34\u5e73\u4e0a\u663e\u7740\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7b49\u7b49\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u68c0\u9a8c\u7ed3\u679c\u5728\u6bcf\u4e2a\u663e\u7740\u6027\u6c34\u5e73\u4e0a\u90fd\u662f\u663e\u7740\u7684\uff0c\u8fd9\u610f\u5473\u7740\u65e0\u8bba\u6211\u4eec\u9009\u62e9\u4f7f\u7528\u4ec0\u4e48\u663e\u7740\u6027\u6c34\u5e73\uff0c\u6211\u4eec\u90fd\u4f1a\u62d2\u7edd\u68c0\u9a8c\u7684\u539f\u5047\u8bbe\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u6709\u8db3\u591f\u7684\u8bc1\u636e\u8868\u660e\u91c7\u6837\u6570\u636e\u4e0d\u662f\u6b63\u6001\u5206\u5e03\u7684\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u9274\u4e8e\u6211\u4eec\u4f7f\u7528<strong>np.rand.randint()<\/strong>\u51fd\u6570\u751f\u6210 50 \u4e2a 0 \u5230 10 \u4e4b\u95f4\u7684\u968f\u673a\u6574\u6570\u6837\u672c\uff08\u4e0d\u592a\u53ef\u80fd\u9075\u5faa\u6b63\u6001\u5206\u5e03\uff09\uff0c\u8fd9\u4e2a\u7ed3\u679c\u4e5f\u5e94\u8be5\u4e0d\u8db3\u4e3a\u5947\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><em>\u60a8\u53ef\u4ee5<a href=\"https:\/\/statorials.org\/cn\/\u7edf\u8ba1\u5b66\u4ee5\u7b80\u5355\u76f4\u63a5\u7684\u65b9\u5f0f\u89e3\u91ca\u6982\u5ff5\uff0c\u6211\u4eec\u4f7f\u5b66\u4e60\u7edf\u8ba1\u53d8\u5f97\u66f4\u5bb9\u6613\/\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230\u66f4\u591a Python \u6559\u7a0b<\/em>\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anderson-Darling \u68c0\u9a8c\u662f\u4e00\u79cd\u62df\u5408\u4f18\u5ea6\u68c0\u9a8c\uff0c\u7528\u4e8e\u8861\u91cf\u6570\u636e\u4e0e\u6307\u5b9a\u5206\u5e03\u7684\u62df\u5408\u7a0b\u5ea6\u3002 \u6b64\u68c0\u9a8c\u6700\u5e38\u7528\u4e8e\u786e [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-873","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast 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