{"id":1748,"date":"2023-07-25T03:30:46","date_gmt":"2023-07-25T03:30:46","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%b0%d0%b8%d0%ba-%d0%b2-%d0%bf%d0%b8%d1%82%d0%be%d0%bd%d0%b5\/"},"modified":"2023-07-25T03:30:46","modified_gmt":"2023-07-25T03:30:46","slug":"%d0%b0%d0%b8%d0%ba-%d0%b2-%d0%bf%d0%b8%d1%82%d0%be%d0%bd%d0%b5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%b0%d0%b8%d0%ba-%d0%b2-%d0%bf%d0%b8%d1%82%d0%be%d0%bd%d0%b5\/","title":{"rendered":"\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c aic \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u043e\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0432 python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0439 \u043a\u0440\u0438\u0442\u0435\u0440\u0438\u0439 \u0410\u043a\u0430\u0438\u043a\u0435 (AIC) \u2014 \u044d\u0442\u043e \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u044b\u0439 \u0434\u043b\u044f \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u043d \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c:<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0410\u0418\u041a = 2\u041a \u2013 2 <em>ln<\/em> (L)<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u043e\u043b\u043e\u0442\u043e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>K:<\/strong> \u041a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432 \u043c\u043e\u0434\u0435\u043b\u0438. \u0417\u043d\u0430\u0447\u0435\u043d\u0438\u0435 K \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0440\u0430\u0432\u043d\u043e 2, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u043c\u043e\u0434\u0435\u043b\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u0441 \u043e\u0434\u043d\u043e\u0439 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439-\u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u043e\u043c \u0431\u0443\u0434\u0435\u0442 \u0438\u043c\u0435\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 K 2+1 = 3.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong><em>ln<\/em> (L)<\/strong> : \u041b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u043f\u0440\u0430\u0432\u0434\u043e\u043f\u043e\u0434\u043e\u0431\u0438\u0435 \u043c\u043e\u0434\u0435\u043b\u0438. \u042d\u0442\u043e \u0433\u043e\u0432\u043e\u0440\u0438\u0442 \u043d\u0430\u043c \u043e \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u0438 \u043c\u043e\u0434\u0435\u043b\u0438 \u0441 \u0443\u0447\u0435\u0442\u043e\u043c \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">AIC \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d \u0434\u043b\u044f \u043f\u043e\u0438\u0441\u043a\u0430 \u043c\u043e\u0434\u0435\u043b\u0438, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442 \u043d\u0430\u0438\u0431\u043e\u043b\u044c\u0448\u0435\u0435 \u0440\u0430\u0437\u043d\u043e\u043e\u0431\u0440\u0430\u0437\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0445, \u043e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u043d\u0430\u043a\u0430\u0437\u044b\u0432\u0430\u044f \u043c\u043e\u0434\u0435\u043b\u0438, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0435 \u0447\u0440\u0435\u0437\u043c\u0435\u0440\u043d\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041f\u043e\u0441\u043b\u0435 \u0442\u043e\u0433\u043e \u043a\u0430\u043a \u0432\u044b \u043f\u043e\u0434\u043e\u0431\u0440\u0430\u043b\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u0438, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0441\u0440\u0430\u0432\u043d\u0438\u0442\u044c<\/span> <span style=\"color: #000000;\">\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 AIC \u043a\u0430\u0436\u0434\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438. \u041c\u043e\u0434\u0435\u043b\u044c \u0441 \u0441\u0430\u043c\u044b\u043c \u043d\u0438\u0437\u043a\u0438\u043c AIC \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u043d\u0430\u0438\u043b\u0443\u0447\u0448\u0435\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u0435.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0427\u0442\u043e\u0431\u044b \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c AIC \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0439 \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u0438 \u0432 Python, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e <strong>statsmodels.re\u0433\u0440\u0435\u0441\u0441\u0438\u044f.linear_model.OLS()<\/strong> , \u0443 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0435\u0441\u0442\u044c \u0441\u0432\u043e\u0439\u0441\u0442\u0432\u043e <strong>aic<\/strong> , \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0441\u043e\u043e\u0431\u0449\u0430\u0435\u0442 \u043d\u0430\u043c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 AIC \u0434\u043b\u044f \u0434\u0430\u043d\u043d\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u0443 \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u0434\u043b\u044f \u0440\u0430\u0441\u0447\u0435\u0442\u0430 \u0438 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0446\u0438\u0438 AIC \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u0438 \u0432 Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440: \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0438 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c AIC \u043d\u0430 Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0414\u043e\u043f\u0443\u0441\u0442\u0438\u043c, \u043c\u044b \u0445\u043e\u0442\u0438\u043c \u043f\u043e\u0434\u043e\u0433\u043d\u0430\u0442\u044c \u0434\u0432\u0435 \u0440\u0430\u0437\u043d\u044b\u0435 <a href=\"https:\/\/statorials.org\/ru\/\u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u0430\u044f-\u043b\u0438\u043d\u0435\u0438\u043d\u0430\u044f-\u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u044f\/\" target=\"_blank\" rel=\"noopener\">\u043c\u043e\u0434\u0435\u043b\u0438 \u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0439 \u043b\u0438\u043d\u0435\u0439\u043d\u043e\u0439 \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u0438<\/a> , \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435 \u0438\u0437 \u043d\u0430\u0431\u043e\u0440\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 <strong>mtcars<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0421\u043d\u0430\u0447\u0430\u043b\u0430 \u043c\u044b \u0437\u0430\u0433\u0440\u0443\u0437\u0438\u043c \u044d\u0442\u043e\u0442 \u043d\u0430\u0431\u043e\u0440 \u0434\u0430\u043d\u043d\u044b\u0445:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">linear_model<\/span> <span style=\"color: #008000;\">import<\/span> LinearRegression\n<span style=\"color: #008000;\">import<\/span> statsmodels. <span style=\"color: #3366ff;\">api<\/span> <span style=\"color: #008000;\">as<\/span> sm\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define URL where dataset is located\n<\/span>url = \"https:\/\/raw.githubusercontent.com\/Statorials\/Python-Guides\/main\/mtcars.csv\"\n\n<span style=\"color: #008080;\">#read in data\n<\/span>data = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (url)\n\n<span style=\"color: #008080;\">#view head of data\n<\/span>data. <span style=\"color: #3366ff;\">head<\/span> ()\n\n        model mpg cyl disp hp drat wt qsec vs am gear carb\n0 Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4\n1 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4\n2 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1\n3 Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1\n4 Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412\u043e\u0442 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435-\u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u044b, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043c\u044b \u0431\u0443\u0434\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0432 \u043a\u0430\u0436\u0434\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u041f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435-\u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u044b \u0432 \u043c\u043e\u0434\u0435\u043b\u0438 1: disp, hp, wt, qsec<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u041f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435-\u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u044b \u0432 \u043c\u043e\u0434\u0435\u043b\u0438 2: disp, qsec<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u043f\u043e\u0434\u043e\u0433\u043d\u0430\u0442\u044c \u043f\u0435\u0440\u0432\u0443\u044e \u043c\u043e\u0434\u0435\u043b\u044c \u0438 \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c AIC:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#define response variable\n<\/span>y = data['mpg']\n\n<span style=\"color: #008080;\">#define predictor variables\n<\/span>x = data[['disp', 'hp', 'wt', 'qsec']]\n\n<span style=\"color: #008080;\">#add constant to predictor variables\n<\/span>x = sm. <span style=\"color: #3366ff;\">add_constant<\/span> (x)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>model = sm. <span style=\"color: #3366ff;\">OLS<\/span> (y,x). <span style=\"color: #3366ff;\">fit<\/span> ()\n\n<span style=\"color: #008080;\">#view AIC of model\n<\/span><span style=\"color: #993300;\">print<\/span> (model. <span style=\"color: #3366ff;\">aic<\/span> )\n\n157.06960941462438<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">AIC \u044d\u0442\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 \u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442\u0441\u044f <strong>157,07<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0414\u0430\u043b\u0435\u0435 \u043f\u043e\u0434\u043e\u0439\u0434\u0435\u043c \u043a\u043e \u0432\u0442\u043e\u0440\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 \u0438 \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0435\u043c AIC:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#define response variable\n<\/span>y = data['mpg']\n\n<span style=\"color: #008080;\">#define predictor variables\n<\/span>x = data[['disp', 'qsec']]\n\n<span style=\"color: #008080;\">#add constant to predictor variables\n<\/span>x = sm. <span style=\"color: #3366ff;\">add_constant<\/span> (x)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>model = sm. <span style=\"color: #3366ff;\">OLS<\/span> (y,x). <span style=\"color: #3366ff;\">fit<\/span> ()\n\n<span style=\"color: #008080;\">#view AIC of model\n<\/span><span style=\"color: #993300;\">print<\/span> (model. <span style=\"color: #3366ff;\">aic<\/span> )\n\n169.84184864154588<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">AIC \u044d\u0442\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 \u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u0440\u0430\u0432\u043d\u044b\u043c <strong>169,84<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 \u043f\u0435\u0440\u0432\u0430\u044f \u043c\u043e\u0434\u0435\u043b\u044c \u0438\u043c\u0435\u0435\u0442 \u0431\u043e\u043b\u0435\u0435 \u043d\u0438\u0437\u043a\u043e\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 AIC, \u043e\u043d\u0430 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0435\u0439 \u043c\u043e\u0434\u0435\u043b\u044c\u044e.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041a\u0430\u043a \u0442\u043e\u043b\u044c\u043a\u043e \u043c\u044b \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u043c \u044d\u0442\u0443 \u043c\u043e\u0434\u0435\u043b\u044c \u043a\u0430\u043a \u043b\u0443\u0447\u0448\u0443\u044e, \u043c\u044b \u0441\u043c\u043e\u0436\u0435\u043c \u043f\u0440\u0438\u0441\u0442\u0443\u043f\u0438\u0442\u044c \u043a \u0435\u0435 \u043f\u043e\u0434\u0431\u043e\u0440\u0443 \u0438 \u043f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 R-\u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0430 \u0438 \u0431\u0435\u0442\u0430-\u043a\u043e\u044d\u0444\u0444\u0438\u0446\u0438\u0435\u043d\u0442\u044b, \u0447\u0442\u043e\u0431\u044b \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u044c \u0442\u043e\u0447\u043d\u0443\u044e \u0441\u0432\u044f\u0437\u044c \u043c\u0435\u0436\u0434\u0443 \u043d\u0430\u0431\u043e\u0440\u043e\u043c \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0438\u0440\u0443\u0435\u043c\u044b\u0445 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0438 <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435-\u043f\u043e\u044f\u0441\u043d\u044f\u044e\u0449\u0438\u0435-\u043e\u0442\u0432\u0435\u0442\u044b\/\" target=\"_blank\" rel=\"noopener\">\u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u043e\u0442\u043a\u043b\u0438\u043a\u0430<\/a> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u043b\u0438\u043d\u0435\u0438\u043d\u0430\u044f-\u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u044f-python\/\" target=\"_blank\" rel=\"noopener\">\u041f\u043e\u043b\u043d\u043e\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u043e \u043f\u043e \u043b\u0438\u043d\u0435\u0439\u043d\u043e\u0439 \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u0438 \u0432 Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043a\u0432\u0430\u0434\u0440\u0430\u0442-r-\u0432-python-\u0440\u0435\u0433\u0443\u043b\u0438\u0440\u0443\u0435\u0442\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u043a\u043e\u0440\u0440\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 R-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0432 Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0439 \u043a\u0440\u0438\u0442\u0435\u0440\u0438\u0439 \u0410\u043a\u0430\u0438\u043a\u0435 (AIC) \u2014 \u044d\u0442\u043e \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u044b\u0439 \u0434\u043b\u044f \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u0438. \u041e\u043d \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c: \u0410\u0418\u041a = 2\u041a \u2013 2 ln (L) \u0417\u043e\u043b\u043e\u0442\u043e: K: \u041a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432 \u043c\u043e\u0434\u0435\u043b\u0438. \u0417\u043d\u0430\u0447\u0435\u043d\u0438\u0435 K \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0440\u0430\u0432\u043d\u043e 2, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u043c\u043e\u0434\u0435\u043b\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u0441 \u043e\u0434\u043d\u043e\u0439 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439-\u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u043e\u043c \u0431\u0443\u0434\u0435\u0442 \u0438\u043c\u0435\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 K 2+1 = 3. ln (L) : \u041b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u043f\u0440\u0430\u0432\u0434\u043e\u043f\u043e\u0434\u043e\u0431\u0438\u0435 \u043c\u043e\u0434\u0435\u043b\u0438. [&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-1748","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c AIC \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u043e\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0432 Python<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0433\u043e \u043a\u0440\u0438\u0442\u0435\u0440\u0438\u044f \u0410\u043a\u0430\u0438\u043a\u0435 (AIC) \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u043e\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0432 Python.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ru\/\u0430\u0438\u043a-\u0432-\u043f\u0438\u0442\u043e\u043d\u0435\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c AIC \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u043e\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0432 Python\" \/>\n<meta property=\"og:description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0433\u043e \u043a\u0440\u0438\u0442\u0435\u0440\u0438\u044f \u0410\u043a\u0430\u0438\u043a\u0435 (AIC) \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u043e\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0432 Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u0430\u0438\u043a-\u0432-\u043f\u0438\u0442\u043e\u043d\u0435\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T03:30:46+00:00\" \/>\n<meta name=\"author\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u043c\u0438\u043d\u0443\u0442\u0430\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ru\/%d0%b0%d0%b8%d0%ba-%d0%b2-%d0%bf%d0%b8%d1%82%d0%be%d0%bd%d0%b5\/\",\"url\":\"https:\/\/statorials.org\/ru\/%d0%b0%d0%b8%d0%ba-%d0%b2-%d0%bf%d0%b8%d1%82%d0%be%d0%bd%d0%b5\/\",\"name\":\"\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c AIC \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u043e\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0432 Python\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ru\/#website\"},\"datePublished\":\"2023-07-25T03:30:46+00:00\",\"dateModified\":\"2023-07-25T03:30:46+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ru\/#\/schema\/person\/774949a85feafc6654ba9cefc39d3cae\"},\"description\":\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0433\u043e \u043a\u0440\u0438\u0442\u0435\u0440\u0438\u044f \u0410\u043a\u0430\u0438\u043a\u0435 (AIC) \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u043e\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0432 Python.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/ru\/%d0%b0%d0%b8%d0%ba-%d0%b2-%d0%bf%d0%b8%d1%82%d0%be%d0%bd%d0%b5\/#breadcrumb\"},\"inLanguage\":\"ru-RU\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/ru\/%d0%b0%d0%b8%d0%ba-%d0%b2-%d0%bf%d0%b8%d1%82%d0%be%d0%bd%d0%b5\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/ru\/%d0%b0%d0%b8%d0%ba-%d0%b2-%d0%bf%d0%b8%d1%82%d0%be%d0%bd%d0%b5\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0414\u043e\u043c\",\"item\":\"https:\/\/statorials.org\/ru\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c aic \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u043e\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0432 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