摘要：The core proposition behind this research is to create innovative methods ofbootstrap that can be applied in time series data. In order to find new methodsof bootstrapping, various methods were reviewed; The data of automotiveSales, Market Shares and Net Exports of the top 10 countries which includesChina, Europe, United States of America (USA), Japan, Germany, SouthKorea, India, Mexico, Brazil, Spain and, Canada from 2002 to 2014, werecollected through various sources which include Eikon, Index Mundi andWorld Bank. The findings of this paper confirmed that Bootstrapping forresampling through winter forecasting by Oscillation and Average methodsgive more robust results than the winter forecasting by any general methods
