ABSTRACT
This chapter describes the basic concepts and methodologies of resampling and computer simulation. Specifically, it discusses resampling techniques such as bootstrap, jackknife and shuffling the computer simulation for generating mapping populations and some specific applications. The purposes of resampling are usually to empirically estimate statistical properties (such as variance, distribution and confidence interval) of an estimator and to obtain an empirical distribution of a test statistic. The chapter evaluates the impact of each observation on the statistical properties of an estimated parameter. It designs a resampling scheme to jackknife each of the observations and bootstraps the jackknife samples. Computer simulation is a numerical technique used to resolve complex systems. The system can be a set of procedures, an estimation methodology or a hypothesis test. Examples of applications are simulation studies of how efficient use of genomic information in plaint and animal improvement requires the simulation of multiple generation breeding schemes.
