{"id":3192,"date":"2023-07-18T18:01:40","date_gmt":"2023-07-18T18:01:40","guid":{"rendered":"https:\/\/statorials.org\/ja\/python%e3%81%a6%e3%82%99%e3%81%ae%e3%83%95%e3%82%99%e3%83%bc%e3%83%88%e3%82%b9%e3%83%88%e3%83%a9%e3%83%83%e3%83%95%e3%82%9a\/"},"modified":"2023-07-18T18:01:40","modified_gmt":"2023-07-18T18:01:40","slug":"python%e3%81%a6%e3%82%99%e3%81%ae%e3%83%95%e3%82%99%e3%83%bc%e3%83%88%e3%82%b9%e3%83%88%e3%83%a9%e3%83%83%e3%83%95%e3%82%9a","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/python%e3%81%a6%e3%82%99%e3%81%ae%e3%83%95%e3%82%99%e3%83%bc%e3%83%88%e3%82%b9%e3%83%88%e3%83%a9%e3%83%83%e3%83%95%e3%82%9a\/","title":{"rendered":"Python \u3067\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u306f<\/strong>\u3001\u30b5\u30f3\u30d7\u30eb \u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u304f\u3001\u57fa\u790e\u3068\u306a\u308b\u5206\u5e03\u304c\u4e0d\u660e\u306a\u5834\u5408\u306b<a href=\"https:\/\/statorials.org\/ja\/\u7d71\u8a08\u3068\u30cf\u309a\u30e9\u30e1\u30fc\u30bf\/\" target=\"_blank\" rel=\"noopener\">\u7d71\u8a08<\/a>\u306e\u4fe1\u983c\u533a\u9593\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u65b9\u6cd5\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u306e\u57fa\u672c\u7684\u306a\u30d7\u30ed\u30bb\u30b9\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6307\u5b9a\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u7f6e\u63db\u3055\u308c\u305f<em>k \u500b\u306e<\/em>\u53cd\u5fa9\u30b5\u30f3\u30d7\u30eb\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30b5\u30f3\u30d7\u30eb\u3054\u3068\u306b\u3001\u76ee\u7684\u306e\u7d71\u8a08\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u3053\u308c\u306b\u3088\u308a\u3001\u7279\u5b9a\u306e\u7d71\u8a08\u91cf\u306b\u5bfe\u3057\u3066<em>k \u500b<\/em>\u306e\u7570\u306a\u308b\u63a8\u5b9a\u5024\u304c\u5f97\u3089\u308c\u3001\u3053\u308c\u3092\u4f7f\u7528\u3057\u3066\u7d71\u8a08\u91cf\u306e\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Python \u3067\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001 <strong>SciPy<\/strong>\u30e9\u30a4\u30d6\u30e9\u30ea\u306e<a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.bootstrap.html\" target=\"_blank\" rel=\"noopener\">\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u95a2\u6570\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: Python \u3067\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u3092\u5b9f\u884c\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">15 \u500b\u306e\u5024\u3092\u542b\u3080\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092 Python \u3067\u4f5c\u6210\u3059\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #008080;\"><strong>#define array of data values\n<span style=\"color: #000000;\">data = [7, 9, 10, 10, 12, 14, 15, 16, 16, 17, 19, 20, 21, 21, 23]<\/span><\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u4e2d\u592e\u5024\u306e 95% \u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #008080;\"><strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> bootstrap\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#convert array to sequence\n<\/span>data = (data,)\n\n<span style=\"color: #008080;\">#calculate 95% bootstrapped confidence interval for median\n<\/span>bootstrap_ci = bootstrap(data, np. <span style=\"color: #3366ff;\">median<\/span> , confidence_level= <span style=\"color: #008000;\">0.95<\/span> ,\n                         random_state= <span style=\"color: #008000;\">1<\/span> , method=' <span style=\"color: #ff0000;\">percentile<\/span> ')\n\n<span style=\"color: #008080;\">#view 95% boostrapped confidence interval\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">bootstrap_ci.confidence_interval<\/span> )\n\nConfidenceInterval(low=10.0, high=20.0)\n<\/span><\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u4e2d\u592e\u5024\u306e 95% \u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u4fe1\u983c\u533a\u9593\u306f<strong>[10.0, 20.0]<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>boostrap()<\/strong>\u95a2\u6570\u304c\u5185\u90e8\u3067\u5b9f\u969b\u306b\u884c\u3063\u3066\u3044\u305f\u3053\u3068\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>bootstrap()<\/strong>\u95a2\u6570\u306f\u3001\u7f6e\u63db\u3092\u542b\u3080 9,999 \u500b\u306e\u30b5\u30f3\u30d7\u30eb\u3092\u751f\u6210\u3057\u307e\u3057\u305f\u3002 (\u30c7\u30d5\u30a9\u30eb\u30c8\u306f 9999 \u3067\u3059\u304c\u3001 <strong>n_resamples<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u3053\u306e\u6570\u5024\u3092\u5909\u66f4\u3067\u304d\u307e\u3059)<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5404\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7 \u30b5\u30f3\u30d7\u30eb\u306b\u3064\u3044\u3066\u3001\u4e2d\u592e\u5024\u304c\u8a08\u7b97\u3055\u308c\u307e\u3057\u305f\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5404\u30b5\u30f3\u30d7\u30eb\u306e\u4e2d\u592e\u5024\u3092\u6700\u5c0f\u5024\u304b\u3089\u6700\u5927\u5024\u306e\u9806\u306b\u4e26\u3079\u30012.5% \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3068 97.5% \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306e\u4e2d\u592e\u5024\u3092\u4f7f\u7528\u3057\u3066\u300195% \u4fe1\u983c\u533a\u9593\u306e\u4e0b\u9650\u3068\u4e0a\u9650\u3092\u69cb\u7bc9\u3057\u307e\u3057\u305f\u3002 %\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u5b9f\u8cea\u7684\u306b\u3059\u3079\u3066\u306e\u7d71\u8a08\u306b\u5bfe\u3057\u3066\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3067\u304d\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001 <strong>bootstrap()<\/strong>\u95a2\u6570\u3067<strong>np.median \u3092<\/strong><strong>np.std<\/strong>\u306b\u7f6e\u304d\u63db\u3048\u3066\u3001\u4ee3\u308f\u308a\u306b\u6a19\u6e96\u504f\u5dee\u306e 95% \u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #008080;\"><strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> bootstrap\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#convert array to sequence\n<\/span>data = (data,)\n\n<span style=\"color: #008080;\">#calculate 95% bootstrapped confidence interval for median\n<\/span>bootstrap_ci = bootstrap(data, np. <span style=\"color: #3366ff;\">std<\/span> , confidence_level= <span style=\"color: #008000;\">0.95<\/span> ,\n                         random_state= <span style=\"color: #008000;\">1<\/span> , method=' <span style=\"color: #ff0000;\">percentile<\/span> ')\n\n<span style=\"color: #008080;\">#view 95% boostrapped confidence interval\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">bootstrap_ci.confidence_interval<\/span> )\n\nConfidenceInterval(low=3.3199732261303283, high=5.66478399066117)\n<\/span><\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6a19\u6e96\u504f\u5dee\u306e 95% \u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u4fe1\u983c\u533a\u9593\u306f<strong>[3.32, 5.67]<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>: \u3053\u308c\u3089\u306e\u4f8b\u3067\u306f\u300195% \u306e\u4fe1\u983c\u533a\u9593\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3092\u9078\u629e\u3057\u307e\u3059\u304c\u3001 <strong>trust_level<\/strong>\u5f15\u6570\u306e\u5024\u3092\u5909\u66f4\u3057\u3066\u3001\u7570\u306a\u308b\u30b5\u30a4\u30ba\u306e\u4fe1\u983c\u533a\u9593\u3092\u69cb\u7bc9\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u4ed6\u306e\u7d71\u8a08\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/r-\u3066\u3099\u306e\u30d5\u3099\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d5\u309a\/\" target=\"_blank\" rel=\"noopener\">R\u3067\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30a8\u30af\u30bb\u30eb\u3092\u59cb\u3081\u307e\u3057\u3087\u3046\/\" target=\"_blank\" rel=\"noopener\">Excel \u3067\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u306f\u3001\u30b5\u30f3\u30d7\u30eb \u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u304f\u3001\u57fa\u790e\u3068\u306a\u308b\u5206\u5e03\u304c\u4e0d\u660e\u306a\u5834\u5408\u306b\u7d71\u8a08\u306e\u4fe1\u983c\u533a\u9593\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u65b9\u6cd5\u3067\u3059\u3002 \u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u306e\u57fa\u672c\u7684\u306a\u30d7\u30ed\u30bb\u30b9\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002 \u6307\u5b9a\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u7f6e\u63db\u3055\u308c\u305fk  [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-3192","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ 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