{"id":988,"date":"2023-07-28T02:15:25","date_gmt":"2023-07-28T02:15:25","guid":{"rendered":"https:\/\/statorials.org\/tr\/kolmogorov-smirnov-test-pitonu\/"},"modified":"2023-07-28T02:15:25","modified_gmt":"2023-07-28T02:15:25","slug":"kolmogorov-smirnov-test-pitonu","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/kolmogorov-smirnov-test-pitonu\/","title":{"rendered":"Python'da kolmogorov-smirnov testi nas\u0131l yap\u0131l\u0131r?"},"content":{"rendered":"

<\/p>\n

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Kolmogorov-Smirnov testi,<\/strong> bir \u00f6rneklemin belirli bir da\u011f\u0131l\u0131mdan gelip gelmedi\u011fini test etmek i\u00e7in kullan\u0131l\u0131r.<\/span><\/p>\n

Python’da Kolmogorov-Smirnov testi ger\u00e7ekle\u015ftirmek i\u00e7in, tek \u00f6rnekli bir test i\u00e7in scipy.stats.kstest()<\/a> veya iki \u00f6rnekli bir test i\u00e7in scipy.stats.ks_2samp()’<\/a> \u0131 kullanabiliriz.<\/span><\/p>\n

Bu e\u011fitimde her fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131na dair bir \u00f6rnek g\u00f6sterilmektedir.<\/span><\/p>\n

\u00d6rnek 1: Bir Kolmogorov-Smirnov test \u00f6rne\u011fi<\/strong><\/span><\/h3>\n

A\u015fa\u011f\u0131daki \u00f6rnek verilere sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n

 from<\/span> numpy.random import<\/span> seed\nfrom<\/span> numpy.random import<\/span> fish\n\n#set seed (eg make this example reproducible)<\/span>\nseed(0)\n\n#generate dataset of 100 values that follows a Poisson distribution with mean=5\n<\/span>data = fish(5, 100)<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki kod, normal da\u011f\u0131l\u0131mdan gelip gelmediklerini belirlemek i\u00e7in 100 veri de\u011ferinden olu\u015fan bu \u00f6rnek \u00fczerinde Kolmogorov-Smirnov testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini g\u00f6sterir:<\/span><\/p>\n
 from<\/span> scipy.stats import<\/span> kstest\n\n#perform Kolmogorov-Smirnov test<\/span>\nkstest(data, ' norm<\/span> ')\n\nKstestResult(statistic=0.9072498680518208, pvalue=1.0908062873170218e-103)\n<\/strong><\/pre>\n
 Sonu\u00e7tan test istatisti\u011finin 0,9072<\/strong> ve kar\u015f\u0131l\u0131k gelen p de\u011ferinin 1,0908e-103<\/strong> oldu\u011funu g\u00f6rebiliriz. P de\u011feri 0,05’ten k\u00fc\u00e7\u00fck oldu\u011fundan s\u0131f\u0131r hipotezini reddediyoruz. \u00d6rnek verilerin normal da\u011f\u0131l\u0131mdan gelmedi\u011fini s\u00f6yleyecek yeterli kan\u0131t\u0131m\u0131z var.<\/span><\/p>\n
 \u00d6rnek 2: \u0130ki \u00f6rnekli Kolmogorov-Smirnov testi<\/strong><\/span><\/h3>\n
 Diyelim ki a\u015fa\u011f\u0131daki iki \u00f6rnek veri setimiz var:<\/span><\/p>\n
 from<\/span> numpy.random import<\/span> seed\nfrom<\/span> numpy.random import<\/span> randn\nfrom<\/span> numpy.random import<\/span> lognormal\n\n#set seed (eg make this example reproducible)<\/span>\nseed(0)\n\n#generate two datasets\n<\/span>data1 = randn(100)\ndata2 = lognormal(3, 1, 100)<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki kod, ayn\u0131 da\u011f\u0131l\u0131mdan gelip gelmediklerini belirlemek i\u00e7in bu iki \u00f6rnek \u00fczerinde Kolmogorov-Smirnov testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini g\u00f6sterir:<\/span><\/p>\n
 from<\/span> scipy.stats import<\/span> ks_2samp\n\n#perform Kolmogorov-Smirnov test<\/span>\nks_2samp(data1, data2)\n\nKstestResult(statistic=0.99, pvalue=4.417521386399011e-57)\n<\/strong><\/pre>\n
 Sonu\u00e7tan test istatisti\u011finin 0,99<\/strong> ve kar\u015f\u0131l\u0131k gelen p de\u011ferinin 4,4175e-57<\/strong> oldu\u011funu g\u00f6rebiliriz. P de\u011feri 0,05’ten k\u00fc\u00e7\u00fck oldu\u011fundan s\u0131f\u0131r hipotezini reddediyoruz. \u0130ki \u00f6rnek veri k\u00fcmesinin ayn\u0131 da\u011f\u0131l\u0131mdan olmad\u0131\u011f\u0131n\u0131 s\u00f6yleyecek yeterli kan\u0131t\u0131m\u0131z var.<\/span><\/p>\n
 \u0130lk \u00f6rnek i\u00e7in de\u011ferleri standart normal da\u011f\u0131l\u0131m kullanarak, ikinci \u00f6rnek i\u00e7in ise lognormal da\u011f\u0131l\u0131m kullanarak de\u011ferler \u00fcretti\u011fimiz i\u00e7in bu sonu\u00e7 da \u015fa\u015f\u0131rt\u0131c\u0131 olmamal\u0131d\u0131r.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 Python’da Shapiro-Wilk Testi Nas\u0131l Yap\u0131l\u0131r?<\/a>
 Python’da Anderson-Darling Testi Nas\u0131l Yap\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Kolmogorov-Smirnov testi, bir \u00f6rneklemin belirli bir da\u011f\u0131l\u0131mdan gelip gelmedi\u011fini test etmek i\u00e7in kullan\u0131l\u0131r. Python’da Kolmogorov-Smirnov testi ger\u00e7ekle\u015ftirmek i\u00e7in, tek \u00f6rnekli bir test i\u00e7in scipy.stats.kstest() veya iki \u00f6rnekli bir test i\u00e7in scipy.stats.ks_2samp()’ \u0131 kullanabiliriz. Bu e\u011fitimde her fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131na dair bir \u00f6rnek g\u00f6sterilmektedir. \u00d6rnek 1: Bir Kolmogorov-Smirnov test \u00f6rne\u011fi A\u015fa\u011f\u0131daki \u00f6rnek verilere sahip oldu\u011fumuzu […]<\/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-988","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPython'da Kolmogorov-Smirnov Testi Nas\u0131l Ger\u00e7ekle\u015ftirilir - Statorials<\/title>\n<meta name=\"description\" content=\"Birka\u00e7 \u00f6rnek de dahil olmak \u00fczere Python'da Kolmogorov-Smirnov testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fine dair basit bir a\u00e7\u0131klama.\" \/>\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\/tr\/kolmogorov-smirnov-test-pitonu\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python'da Kolmogorov-Smirnov Testi Nas\u0131l Ger\u00e7ekle\u015ftirilir - 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 \u00d6rnek verileri Poisson da\u011f\u0131l\u0131m\u0131n\u0131<\/a> takip eden rastgele de\u011ferler \u00fcreten Poisson()<\/strong> fonksiyonunu kullanarak olu\u015fturdu\u011fumuz i\u00e7in bu sonu\u00e7 da \u015fa\u015f\u0131rt\u0131c\u0131 olmamal\u0131d\u0131r.<\/span><\/p>\n