A MODEL FOR THE ANALYSIS OF GROWTH DATA FROM DESIGNED EXPERIMENTS

被引：28

作者：

CULLIS, BR ^{[1
]}

MCGILCHRIST, CA ^{[1
]}

机构：

[1] UNIV NEW S WALES,KENSINGTON,NSW 2033,AUSTRALIA

来源：

BIOMETRICS | 1990年 / 46卷 / 01期

关键词：

D O I：

10.2307/2531636

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A model for growth data from designed experiments is presented which extends the stochastic differential equation of Sandland and McGilchrist (1979, Biometrics 35, 255-272). Residual maximum likelihood (REML) is used to estimate the parameters of the model. The model is easily extended to incomplete data and is shown to overcome some of the practical difficulties encountered with the profile model. The procedure is applied to data from experiments on pigs and sheep.

引用

页码：131 / 142

页数：12

共 18 条

[1] ANALYSIS OF A SERIES OF LONG-TERM GRASSLAND EXPERIMENTS WITH AUTOCORRELATED ERRORS [J].