The Optimizing Model of Five Empirical Distribution Functions in Mean Once Distance
To solve some problems of economic domain, we always search for relations between variables, and regression analysis plays an important role. However, in most occasions, we often infer the population by sampling to obtain experience distribution function. This article introduces five empirical distribution functions in Mean once Distance and establish the optimizing model. 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 optimizing model of 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 optimizing model is available.
Empirical distribution function,Once Distance,Mean once Distance Mean square distance simulated
Zhang Deran Bao Wenqing
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)