会议专题

The Orthogonal Saturated Parameter Model and its Statistical Analysis

The dificulty of analyzing orthogonal saturated designs is that there are no degrees of freedom left to estimate the error variance ,so that the ordinary ANOVA is no more available. The paper proposes a new method to identify no, the number of the effect parameters which is equal to zero.This proposed method is based on the moment of order 2 of the order statistics. Consequently, The error variance is estimated and the active effcts are identified.

Orthogonal saturated parameter designs Orthogonal polynomial transformation Order statistics Active effects

Xiaoqin Zhang Yingshan Zhang Shisong Mao

Department of Statistics, East China Normal University, Shanghai 200062,P.R. China;School of Mathema Department of Statistics, East China Normal University, Shanghai 200062,P.R. China

国际会议

2006 International Conference on Design of Experiments and Its Applications(2006实验设计及其应用国际会议)

天津

英文

2006-07-09(万方平台首次上网日期,不代表论文的发表时间)