<\/p>\n
Poisson da\u011f\u0131l\u0131m\u0131,<\/a> sabit bir zaman aral\u0131\u011f\u0131nda meydana gelen belirli say\u0131da olay\u0131n olas\u0131l\u0131\u011f\u0131n\u0131 modellemek i\u00e7in kullan\u0131lan bir olas\u0131l\u0131k da\u011f\u0131l\u0131m\u0131d\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki d\u00f6rt varsay\u0131m\u0131n kar\u015f\u0131lanmas\u0131 durumunda Poisson da\u011f\u0131l\u0131m\u0131n\u0131n kullan\u0131lmas\u0131 uygundur:<\/span><\/p>\n Varsay\u0131m 1: Olaylar\u0131n say\u0131s\u0131 say\u0131labilir.<\/strong><\/span><\/p>\n Belirli bir zaman aral\u0131\u011f\u0131nda meydana gelebilecek \u201colaylar\u0131n\u201d say\u0131s\u0131n\u0131n say\u0131labilece\u011fini ve 0, 1, 2, 3 vb. de\u011ferlerini alabildi\u011fini varsay\u0131yoruz.<\/span><\/p>\n Hipotez 2: Olaylar\u0131n meydana geli\u015fi ba\u011f\u0131ms\u0131zd\u0131r.<\/strong><\/span><\/p>\n Bir olay\u0131n meydana gelmesinin di\u011fer bir olay\u0131n meydana gelme olas\u0131l\u0131\u011f\u0131n\u0131 etkilemedi\u011fini varsay\u0131yoruz.<\/span><\/p>\n Varsay\u0131m 3: Olaylar\u0131n meydana geldi\u011fi ortalama h\u0131z hesaplanabilir.<\/strong><\/span><\/p>\n Belirli bir zaman aral\u0131\u011f\u0131nda olaylar\u0131n meydana geldi\u011fi ortalama h\u0131z\u0131n hesaplanabilece\u011fini ve her alt aral\u0131kta sabit oldu\u011funu varsay\u0131yoruz.<\/span><\/p>\n Varsay\u0131m 4: \u0130ki olay tam olarak ayn\u0131 anda ger\u00e7ekle\u015femez.<\/strong><\/span><\/p>\n Her son derece k\u00fc\u00e7\u00fck alt aral\u0131kta tam olarak bir olay\u0131n ger\u00e7ekle\u015fti\u011fini veya ger\u00e7ekle\u015fmedi\u011fini varsay\u0131yoruz.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler Poisson da\u011f\u0131l\u0131m\u0131n\u0131n varsay\u0131mlar\u0131n\u0131 kar\u015f\u0131layan \u00e7e\u015fitli senaryolar\u0131 g\u00f6stermektedir.<\/span><\/p>\n Bir restorana her g\u00fcn gelen m\u00fc\u015fteri say\u0131s\u0131 Poisson da\u011f\u0131l\u0131m\u0131 kullan\u0131larak modellenebilir.<\/span><\/p>\n Bu senaryo, Poisson da\u011f\u0131l\u0131m\u0131n\u0131n varsay\u0131mlar\u0131n\u0131n her birini kar\u015f\u0131lar:<\/span><\/p>\n Varsay\u0131m 1: Olaylar\u0131n say\u0131s\u0131 say\u0131labilir.<\/strong><\/span><\/p>\n Her g\u00fcn bir restorana gelen m\u00fc\u015fteri say\u0131s\u0131 say\u0131labilir (\u00f6rne\u011fin 200 m\u00fc\u015fteri).<\/span><\/p>\n Hipotez 2: Olaylar\u0131n meydana geli\u015fi ba\u011f\u0131ms\u0131zd\u0131r.<\/strong><\/span><\/p>\n Bir m\u00fc\u015fterinin geli\u015fi di\u011fer m\u00fc\u015fterinin geli\u015fini etkilemez.<\/span><\/p>\n Varsay\u0131m 3: Olaylar\u0131n meydana geldi\u011fi ortalama h\u0131z hesaplanabilir.<\/strong><\/span><\/p>\n Restorana her g\u00fcn giren ortalama m\u00fc\u015fteri say\u0131s\u0131na ili\u015fkin verileri kolayl\u0131kla toplayabiliyoruz.<\/span><\/p>\n Varsay\u0131m 4: \u0130ki olay tam olarak ayn\u0131 anda ger\u00e7ekle\u015femez.<\/strong><\/span><\/p>\n Teknik olarak bir restorana iki m\u00fc\u015fteri ayn\u0131<\/em> anda giremez.<\/span><\/p>\n Bir teknoloji \u015firketinin her hafta ya\u015fad\u0131\u011f\u0131 a\u011f kesintilerinin say\u0131s\u0131 Poisson da\u011f\u0131l\u0131m\u0131 kullan\u0131larak modellenebilir.<\/span><\/p>\n Bu senaryo, Poisson da\u011f\u0131l\u0131m\u0131n\u0131n varsay\u0131mlar\u0131n\u0131n her birini kar\u015f\u0131lar:<\/span><\/p>\n Varsay\u0131m 1: Olaylar\u0131n say\u0131s\u0131 say\u0131labilir.<\/strong><\/span><\/p>\n Her hafta ger\u00e7ekle\u015fen a\u011f kesintilerinin say\u0131s\u0131 say\u0131labilir (\u00f6rne\u011fin 3 a\u011f kesintisi).<\/span><\/p>\n Hipotez 2: Olaylar\u0131n meydana geli\u015fi ba\u011f\u0131ms\u0131zd\u0131r.<\/strong><\/span><\/p>\n Bir a\u011f kesintisinin meydana gelmesinin, ba\u015fka bir a\u011f kesintisinin meydana gelme olas\u0131l\u0131\u011f\u0131n\u0131 etkilemedi\u011fi varsay\u0131lmaktad\u0131r.<\/span><\/p>\n Varsay\u0131m 3: Olaylar\u0131n meydana geldi\u011fi ortalama h\u0131z hesaplanabilir.<\/strong><\/span><\/p>\n Her hafta meydana gelen ortalama a\u011f kesintisi say\u0131s\u0131na ili\u015fkin verileri kolayca toplayabiliriz.<\/span><\/p>\n Varsay\u0131m 4: \u0130ki olay tam olarak ayn\u0131 anda ger\u00e7ekle\u015femez.<\/strong><\/span><\/p>\n Tam olarak ayn\u0131 anda iki a\u011f kesintisi meydana gelemez; ayn\u0131 anda yaln\u0131zca bir a\u011f kesintisi meydana gelebilir.<\/span><\/p>\n Poisson da\u011f\u0131l\u0131m\u0131na giri\u015f<\/a> Poisson da\u011f\u0131l\u0131m\u0131, sabit bir zaman aral\u0131\u011f\u0131nda meydana gelen belirli say\u0131da olay\u0131n olas\u0131l\u0131\u011f\u0131n\u0131 modellemek i\u00e7in kullan\u0131lan bir olas\u0131l\u0131k da\u011f\u0131l\u0131m\u0131d\u0131r. A\u015fa\u011f\u0131daki d\u00f6rt varsay\u0131m\u0131n kar\u015f\u0131lanmas\u0131 durumunda Poisson da\u011f\u0131l\u0131m\u0131n\u0131n kullan\u0131lmas\u0131 uygundur: Varsay\u0131m 1: Olaylar\u0131n say\u0131s\u0131 say\u0131labilir. Belirli bir zaman aral\u0131\u011f\u0131nda meydana gelebilecek \u201colaylar\u0131n\u201d say\u0131s\u0131n\u0131n say\u0131labilece\u011fini ve 0, 1, 2, 3 vb. de\u011ferlerini alabildi\u011fini varsay\u0131yoruz. Hipotez 2: Olaylar\u0131n meydana geli\u015fi […]<\/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-1503","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek 1: Bir restorana gelenlerin say\u0131s\u0131<\/strong><\/span><\/h3>\n
\u00d6rnek 2:<\/strong> Haftal\u0131k a\u011f kesintisi<\/strong> say\u0131s\u0131<\/span><\/h3>\n
Ek kaynaklar<\/strong><\/span><\/h3>\n
Bal\u0131k Da\u011f\u0131t\u0131m\u0131 Hesaplay\u0131c\u0131s\u0131<\/a>
Poisson da\u011f\u0131l\u0131m\u0131n\u0131n 5 somut \u00f6rne\u011fi<\/a>
Poisson g\u00fcven aral\u0131\u011f\u0131 nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"