Modelling and forecasting using exponential smoothing technique
Introduction: The main objective of this project was to implement the various forecasting techniques on the data set provided to us. The forecasting techniques used in the project are ARIMA models, simple exponential smoothing, holt’s method, and holt’s winters. The data provided to me was on the import and export of oil and non-oil products for a period of 26 years, this data was in a monthly format. Loading the required data loading data from the clipboard Investment income <- read.delim('clipboard', header = FALSE) Investment Income Qtr1 Qtr2 Qtr3 Qtr4 2000 264 146 262 76 2001 164 222 39 173 2002 232 49 168 225 2003 46 183 247 51 2004 193 234 23 191 2005 255 54 150 223 2006 52 188 252 53 2007 195 230 18 176 2008 253 62 186 221 2009 19 178 238 45 2010 194 220 14 175 2011 107 87 206 211 2012 11 184 229 27 2013 198 259 47 197 2014 93 64 192 242 2015 36 210 248 22 2016 208 101