Add to ORKGA general method is presented for randomising a block design while preserving the neighbour relationships between treatments. The randomisation possesses validity properties for the first-difference analysis introduced by Besag and Kempton (1986). The estimators of treatment differences are unbiased, and the paper shows how to calculate quadratic estimators of their variance, which are unbiased if treatment effects and plot effects are additive. Simplifications, which appear when the design is neighbour-balanced, are described and illustrated
Summary. We study the construction of experimental designs, the purpose of which is to aid in the di...
This paper examines the relative efficiency of randomized complete block design as compared with tha...
In a companion paper we derived the correct analysis for gerechte designs with uncorrelated errors. ...
A general method is presented for randomising a block design while preserving the neighbour relation...
Neighbour methods have often been shown to be apparently more efficient than analysis of variance fo...
The study of the topic of randomisation models in the field of experimental design, was initiated b...
In experiments with a spatial layout, there may be problems if neighbouring treatments are likely to...
It is shown that the usual analysis of a complete-block design is weakly valid under a range of assu...
Abstract: Experiments in agriculture, horticulture, and forestry often show neighbour effects, that ...
Several tests for the comparison of different groups in the randomized complete block design exist. ...
When the merits of different treatments are being studied and subjects are allocated to the treatme...
In biomedical experiments and investigations, many times comparisons of treatments with a control, r...
This pamphlet will extend the results of the previous pamphlet to the Randomized Complete Block Desi...
Not AvailableRobustness of incomplete block designs against the unavailability of data has been inve...
Gill [1992. Balanced change-over designs for autocorrelated observations. Austral. J. Statist. 34(3)...
Summary. We study the construction of experimental designs, the purpose of which is to aid in the di...
This paper examines the relative efficiency of randomized complete block design as compared with tha...
In a companion paper we derived the correct analysis for gerechte designs with uncorrelated errors. ...
A general method is presented for randomising a block design while preserving the neighbour relation...
Neighbour methods have often been shown to be apparently more efficient than analysis of variance fo...
The study of the topic of randomisation models in the field of experimental design, was initiated b...
In experiments with a spatial layout, there may be problems if neighbouring treatments are likely to...
It is shown that the usual analysis of a complete-block design is weakly valid under a range of assu...
Abstract: Experiments in agriculture, horticulture, and forestry often show neighbour effects, that ...
Several tests for the comparison of different groups in the randomized complete block design exist. ...
When the merits of different treatments are being studied and subjects are allocated to the treatme...
In biomedical experiments and investigations, many times comparisons of treatments with a control, r...
This pamphlet will extend the results of the previous pamphlet to the Randomized Complete Block Desi...
Not AvailableRobustness of incomplete block designs against the unavailability of data has been inve...
Gill [1992. Balanced change-over designs for autocorrelated observations. Austral. J. Statist. 34(3)...
Summary. We study the construction of experimental designs, the purpose of which is to aid in the di...
This paper examines the relative efficiency of randomized complete block design as compared with tha...
In a companion paper we derived the correct analysis for gerechte designs with uncorrelated errors. ...