Research and Analysis on Optimizing Five Empirical DistributionFunctions in Mean once Distance
This article introduces five empirical distribution functions of Mean once Distance under the condition of absolute loss. To these empirical distribution functions, we applies knowledge of statistical decision and thoughts of risk function, and do simulation, comparisons and analysis, then obtain the most consistent optimal empirical distribution function W(Hn,F) in mean once distance. Thus, a new statistics Wn and testing sequence are established. Finally, an example simulated by software MATLAB is set to indicate that the empirical distribution function in mean once distance is available.
Empirical distribution function Once Distance Mean once Distance Mean square distance simulated
Deran Zhang Wenqing Bao
Fuyang Normal College, P.R.China 236041 Zhejiang Normal Univ., P.R.China 321004
国际会议
2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)
烟台
英文
1-7
2008-08-14(万方平台首次上网日期,不代表论文的发表时间)