Research on Data Analysis of Small Sample Based on Bootstrap Method
Zhicai Xiao · Journal of Naval Aeronautical and Astronautical University · 2009
Bootstrap method and Bayes Bootstrap method are all better methods to deal with the data of small sample,which are only dependent on the observation and don't need other assumption.For these reasons,they are adopted generally,and the latter has the more precise.But as to the continuous function,the calculatingly characteristic of the Bootstrap method limits the range of the resample which comes from the original,so it will make the Bootstrap distribution departure from the genuine distribution.Therefore the improving empirical distruction function of sample was introduced to solve the problem,which was based on Bootstrap method.The emulation of example from the thesis proved the validity of the improving method.