Intercomparing Residuals to Find Outliers in Randomized Blocks

Basford, KE and Tukey, JW (1995) Intercomparing Residuals to Find Outliers in Randomized Blocks. Australian Journal of Agricultural Research, 46 2: 451-461. doi:10.1071/AR9950451

Author Basford, KE
Tukey, JW
Title Intercomparing Residuals to Find Outliers in Randomized Blocks
Journal name Australian Journal of Agricultural Research   Check publisher's open access policy
ISSN 0004-9409
Publication date 1995-01-01
Year available 1995
Sub-type Article (original research)
DOI 10.1071/AR9950451
Open Access Status Not yet assessed
Volume 46
Issue 2
Start page 451
End page 461
Total pages 11
Place of publication COLLINGWOOD
Language eng
Subject 1100 Agricultural and Biological Sciences
Abstract The results of experiments laid out in a randomized complete block often appear to contain one or more unusual values. Techniques for detecting such exotic values, understanding of alternative descriptions of exoticity, one or the other of which applies rather often, leading to what might be done when exotic values are detected, can all be of practical use. This study was designed to investigate such a two-way data set: (a) by using for detection the combination of a median polish to highlight unusual values and an analysis on its residuals that is guided by the order statistic medians from a unit half-Gaussian distribution, (b) by exploring an alternate analysis on a logarithmic scale, and (c) by either Winsorizing or applying missing-value techniques to those values found to be exotic. It details the processes and the ways in which the results may be interpreted by application to data from an experiment conducted by the Rubber Research Institute in Malaysia. This article provides a concise practical tool for the investigation of such data, leading into more appropriate statistical analysis.
Keyword Median Polish
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: ResearcherID Downloads - Archived
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