Grubbs' test (Grubbs 1969 and Stefansky 1972) is used to detect a single outlier in a univariate data set that follows an approximately normal distribution. In this video, I will try to present a simple example on how this test works and basic understanding of how you can use it using Python.
Link to the Notebook :
https://github.com/bhattbhavesh91/out...
If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.
If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful.
Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching.
You can find me on:
Blog - http://bhattbhavesh91.github.io
Twitter - / _bhaveshbhatt
GitHub - https://github.com/bhattbhavesh91
Medium - / bhattbhavesh91
#GrubbsTest #GrubbsThreshold #Outlier
На этой странице сайта вы можете посмотреть видео онлайн Grubbs Test for Outlier Detection using Python длительностью часов минут секунд в хорошем качестве, которое загрузил пользователь Bhavesh Bhatt 17 Август 2019, поделитесь ссылкой с друзьями и знакомыми, на youtube это видео уже посмотрели 12,775 раз и оно понравилось 237 зрителям. Приятного просмотра!