Georgia tech ISYE 6501 Week 4 homework Exponential Smoothing Document Content and Description Below

Georgia tech ISYE 6501 Week 4 homework Exponential Smoothing Document Content and Description Below ISYE 6501 Week 4 homework Exponential Smoothing Exponential smoothing assists with change detection as it smoothes out the data. The benfits of exponential smoothing are that it gives you smoother data (less noisy data) and the ability to forecast using trends and seanolaity for time series data. Additionally, data can be made to be less noisy for more confidence in a CUSUM change detection model, which will see in this assignment. Let’s pull in the data again. rm(list = ls()) temps <- ("/Users/s/Desktop/OMSA/", stringsAsFactors = FALSE, header=TRUE) head(temps) ## DAY X1996 X1997 X1998 X1999 X2000 X2001 X2002 X2003 X2004 X2005 X2006 X2007 ## 1 1-Jul 98 86 91 84 89 93 95 ## 2 2-Jul 93 85 ## 3 3-Jul 93 82 ## 4 4-Jul 91 86 ## 5 5-Jul 90 88 ##