SPATIAL-ANALYSIS OF FIELD EXPERIMENTS - AN EXTENSION TO 2 DIMENSIONS

被引：235

作者：

CULLIS, BR ^{[1
]}

GLEESON, AC ^{[1
]}

机构：

[1] AGR RES CTR,TAMWORTH,NSW 2340,AUSTRALIA

来源：

BIOMETRICS | 1991年 / 47卷 / 04期

关键词：

ERROR MODEL DIAGNOSTICS; FIELD EXPERIMENTS; RESIDUAL MAXIMUM LIKELIHOOD ESTIMATION; SEPARABLE LATTICE PROCESSES; TIME SERIES MODELS; 2-DIMENSIONAL ANALYSIS;

D O I：

10.2307/2532398

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The one-dimensional spatial analysis procedure proposed by Gleeson and Cullis (1987, Biometrics 43, 277-288) is extended to two dimensions using the subclass of separable lattice processes to model the errors. Residual maximum likelihood estimation of the models is described and diagnostics for testing model adequacy are derived. Results from the analysis of 24 sets of uniformity data indicate the frequent need for a two-dimensional analysis even when the plot shape is highly rectangular. These results also indicate the potential gain from using a two-dimensional spatial analysis rather than a row + column analysis. An example is presented of the analysis of a field experiment on tobacco.

引用

页码：1449 / 1460

页数：12

共 29 条

[1]

ANSLEY CF, 1979, BIOMETRIKA, V66, P547

[2]

Batchelor LD, 1918, J AGRIC RES, V12, P0245

[3] STATISTICAL-ANALYSIS OF FIELD EXPERIMENTS USING NEIGHBORING PLOTS [J].