Are neighbour methods preferable to analysis of variance for completely systematic designs? `Silly designs are silly!'

Rosemary Anne Bailey; J.-M. Aza"is; H. Monod

Are neighbour methods preferable to analysis of variance for completely systematic designs? `Silly designs are silly!'

Rosemary Anne Bailey, J.-M. Aza"is, H. Monod

Research output: Contribution to journal › Article › peer-review

Abstract

It is shown that the usual analysis of a complete-block design is weakly valid under a range of assumptions but that more sophisticated analyses of systematic block designs may not be.

Original language	English
Pages (from-to)	655-659
Number of pages	5
Journal	Biometrika
Volume	82
Issue number	3
Publication status	Published - 1995

Keywords

complete-block designs
efficiency
generalised least squares
neighbour analysis
validity

Cite this

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title = "Are neighbour methods preferable to analysis of variance for completely systematic designs? `Silly designs are silly!'",

abstract = "It is shown that the usual analysis of a complete-block design is weakly valid under a range of assumptions but that more sophisticated analyses of systematic block designs may not be.",

keywords = "complete-block designs, efficiency, generalised least squares, neighbour analysis, validity",

author = "Bailey, {Rosemary Anne} and J.-M. Aza{"}is and H. Monod",

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AU - Bailey, Rosemary Anne

AU - Aza"is, J.-M.

AU - Monod, H.

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N2 - It is shown that the usual analysis of a complete-block design is weakly valid under a range of assumptions but that more sophisticated analyses of systematic block designs may not be.

AB - It is shown that the usual analysis of a complete-block design is weakly valid under a range of assumptions but that more sophisticated analyses of systematic block designs may not be.

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KW - efficiency

KW - generalised least squares

KW - neighbour analysis

KW - validity

M3 - Article

SN - 0006-3444

VL - 82

SP - 655

EP - 659

JO - Biometrika

JF - Biometrika

IS - 3

ER -

Are neighbour methods preferable to analysis of variance for completely systematic designs? `Silly designs are silly!'

Abstract

Keywords

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