Robust statistical normality transformation method with outlier consideration in bitcoin exchange rate analysis

Bitcoin is the first decentralized peer-to middlemen. The objective of this study is to evaluate the normality of data distribution for exchange rate of Bitcoin. The method implemented in this study is Shapiro the data distribution of exchange rate for Bitcoin follows non important to make sure the...

全面介紹

Saved in:
書目詳細資料
Main Authors: Abu Bakar, Nashirah, Rosbi, Sofian
格式: Article
語言:English
出版: IJASRE 2017
主題:
在線閱讀:http://repo.uum.edu.my/26295/1/IJASRE%203%209%202019%2080%2091.pdf
http://repo.uum.edu.my/26295/
http://doi.org/10.7324/IJASRE.2017.32522
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結:Bitcoin is the first decentralized peer-to middlemen. The objective of this study is to evaluate the normality of data distribution for exchange rate of Bitcoin. The method implemented in this study is Shapiro the data distribution of exchange rate for Bitcoin follows non important to make sure the distribution of data follows normal distribution. The normal distribution is very crucial as the requirement for validity of statistical test.N distribution and to compute how likely it is for a random variable underlying the data set to be normally distributed. implemented two-stages of outliers detection and deletion process.The final results shows the distribution of rate with first difference is follow normal distribution with probability of 0.722.Result concluded the distribution of data after second stages of outlies deletion treatment data is highly volatile with existence of many outliers. The transformation process is highly important to make sure the Bitcoin data follows normal distribution that underlying critical assumption for statistical tests.