GAMA da\u011f\u0131l\u0131m\u0131n\u0131n ters i\u015flevi, belli birikimli olas\u0131l\u0131k de\u011feri verildi\u011finde, GAMA da\u011f\u0131l\u0131m\u0131na ait rastgele de\u011fi\u015fkenin alabilece\u011fi de\u011feri hesaplamak i\u00e7in kullan\u0131l\u0131r. Excel ve Google E-Tablolar’da bu i\u015flev, s\u0131ras\u0131yla Excel’de GAMMAINV:<\/strong> i\u015flevin genel s\u00f6zdizimi a\u015fa\u011f\u0131daki gibidir:<\/p>\n Google E-Tablolar’da GAMATERS:<\/strong> i\u015flevin s\u00f6zdizimi Excel ile ayn\u0131d\u0131r:<\/p>\n G\u00f6rev 1: Projeksiyon Hesaplamas\u0131<\/strong><\/p>\n Bir \u00fcretim departman\u0131ndaki makine ar\u0131zalar\u0131n\u0131n s\u00fcreleri gama da\u011f\u0131l\u0131m\u0131 ile modellemekte oldu\u011funuzu varsayal\u0131m. \u015eekil parametresi (alfa) 9 ve \u00f6l\u00e7ek parametresi (beta) 0.5 olan bir gama da\u011f\u0131l\u0131m\u0131 d\u00fc\u015f\u00fcnelim. Makinenin %90 olas\u0131l\u0131kla ar\u0131zalanmadan \u00e7al\u0131\u015faca\u011f\u0131 maksimum s\u00fcreyi bulun.<\/p>\n \u0130\u015flevler, y\u00fczde 90 olas\u0131l\u0131kla en fazla ka\u00e7 saatlik ar\u0131zas\u0131z \u00e7al\u0131\u015fabilece\u011fini verir. Bu say\u0131 makine bak\u0131m s\u00fcresinin planlanmas\u0131 i\u00e7in kritik bir veridir.<\/p>\n G\u00f6rev 2: Risk De\u011ferlendirme<\/strong><\/p>\n Bir finansal modelleme durumu d\u00fc\u015f\u00fcn\u00fcn, yat\u0131r\u0131mlar\u0131n getirileri gama da\u011f\u0131l\u0131m\u0131 ile modellensin. E\u011fer alfa de\u011feri 7.5 ve beta de\u011feri 3 olan bir gama da\u011f\u0131l\u0131m\u0131ndan s\u00f6z ediyorsak, yat\u0131r\u0131m\u0131n %75 olas\u0131l\u0131kla a\u015famayaca\u011f\u0131 getiri miktar\u0131n\u0131 hesaplay\u0131n.<\/p>\n Bu hesaplama, yat\u0131r\u0131mc\u0131lar\u0131n risk toleranslar\u0131n\u0131 de\u011ferlendirmelerine ve beklenen getiri miktarlar\u0131n\u0131 ayarlamalar\u0131na olanak tan\u0131r.<\/p>\n Her iki g\u00f6revde de, Gama k\u00fcm\u00fclatif da\u011f\u0131l\u0131m\u0131n\u0131n tersini verir<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[584],"tags":[],"class_list":["post-15436","post","type-post","status-publish","format-standard","hentry","category-uyumluluk"],"acf":[],"yoast_head":"\nGAMMAINV<\/code> ve GAMATERS<\/code> olarak ge\u00e7er. Bu yaz\u0131da bu i\u015flevlerin kullan\u0131m\u0131n\u0131, \u00f6rneklerle birlikte ve pratik g\u00f6revler \u00fczerinde detayl\u0131 \u015fekilde ele alaca\u011f\u0131z.<\/p>\nS\u00f6zdiziminin Detayl\u0131 A\u00e7\u0131klamas\u0131<\/h2>\n
GAMMAINV(olas\u0131l\u0131k, alfa, beta)<\/code><\/pre>\n\n
GAMATERS(olas\u0131l\u0131k, alfa, beta)<\/code><\/pre>\n\n
G\u00f6revler ve \u00c7\u00f6z\u00fcmler<\/h2>\n
=GAMMAINV(0.9, 9, 0.5) \/\/ Excel i\u00e7in =GAMATERS(0.9, 9, 0.5) \/\/ Google E-Tablolar i\u00e7in<\/code><\/pre>\n=GAMMAINV(0.75, 7.5, 3) \/\/ Excel =GAMATERS(0.75, 7.5, 3) \/\/ Google E-Tablolar<\/code><\/pre>\nGAMMAINV<\/code> ve GAMATERS<\/code> i\u015flevlerinin pratik uygulamalar\u0131 \u00fczerinden, bu i\u015flevlerin nas\u0131l de\u011ferli ara\u00e7lar olabilece\u011fini g\u00f6rmekteyiz. Finans ya da \u00fcretim gibi farkl\u0131 alanlarda, belirsizliklerin ve risklerin y\u00f6netilmesinde bu t\u00fcr istatistiksel i\u015flevler b\u00fcy\u00fck \u00f6neme sahiptir.<\/p>\n","protected":false},"excerpt":{"rendered":"