Title:
AN APPLICATION OF BOOTSTRAP AND JACKKNIFE TECHNIQUES TO AUTOMOTIVE INDUSTRY

Authors:
Meral Yay

Abstract:
The aim of this study is to apply repeated sampling methods which are used frequently in recent years on the automotive industry. Resampling methods are based on the distribution of B repeated samples, each of which is drawn with replacement from the observed data set. It is aimed to reduce the standard error of the variable of interest. In this study engine power, weight and fuel consumption are the variables of interest and the estimations of the variables obtained with the help of the generated empirical distribution. Bootstrap-t, percentage and bias corrected and accelerated confidence intervals were obtained for 1.6 and 1.8 injection vehicles with B=1000 repeated samples and the results were evaluated statistically. The results were obtained using the R software program and the evaluation was done with confidence intervals and graphs