Comparative Study of Normality Tests As Applied to Some Set of Time Series Data

Abstract

Time Series data are usually autocorrelated or dependent. Applications of the different normality tests for independent and identically distributed data if employed posed many drawbacks. A comparative study of these various tests applied to time series data showed that the Geary's test performed better than its counterparts followed bythe Wilk-Shapiro test.