Choosing cross-over designs when few subjects are available

ST Bate; EJ Godolphin; JD Godolphin

doi:10.1016/j.csda.2007.05.002

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Choosing cross-over designs when few subjects are available

Journal article

Peer reviewed

Choosing cross-over designs when few subjects are available

ST Bate, EJ Godolphin and JD Godolphin

COMPUTATIONAL STATISTICS & DATA ANALYSIS, Vol.52(3), pp.1572-1586

01/01/2008

DOI: https://doi.org/10.1016/j.csda.2007.05.002

Abstract

Science & Technology

Technology

Physical Sciences

Computer Science

Interdisciplinary Applications

Statistics & Probability

Computer Science

Mathematics

carry-over effects

change-over design

complete Latin square

connectivity

cyclic design

directed difference set

missing values

nearly balanced square

rank reducing observation sets

Russell square

Williams square

COMPLETE LATIN SQUARES

UNIVERSAL OPTIMALITY

CONSTRUCTION

DOGS

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Title: Choosing cross-over designs when few subjects are available
Creators: ST Bate
EJ Godolphin
JD Godolphin
Publication Details: COMPUTATIONAL STATISTICS & DATA ANALYSIS, Vol.52(3), pp.1572-1586
Publisher: ELSEVIER SCIENCE BV
Publication Date: 01/01/2008
Identifiers: 99513146202346; WOS:000253669700024
Academic Unit: Department of Mathematics
Language: English
Resource Type: Journal article

Choosing cross-over designs when few subjects are available

Abstract

Files and links (1)

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