Assessing the need for transformation of response variables

Technical Report

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Citeable URL: https://ir.library.oregonstate.edu/concern/technical_reports/1z40kt73s

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Attribute Name	Values
Alternative Title	Special publication 20
Creator	Oregon State University. Forest Research Laboratory Sabin, Thomas E. Stafford, Susan G.
Abstract	Violations of one or more of the assumptions made In analysis of variance (ANOVA) or linear regression analysis may lead to erroneous results. Often data will not conform to the assumptions implicit in the analyses, but transforming the data to a different scale may lead to an appropriate model. Before determining what transformation should be used, an investigator must first determine if the assumptions are valid, and If they are not valid, how they are being violated.
Resource Type	Other
Date Available	2012-08-10T18:05:31+00:00
Date Issued	1990-09
Academic Affiliation	College of Forestry
Series	Special publication (Oregon State University. Forest Research Laboratory)
Subject	Regression analysis -- Computer programs Forests and forestry Forests and forestry -- Oregon Analysis of variance -- Computer programs
Rights Statement	Copyright Not Evaluated
Publisher	Corvallis, OR : Forest Research Lab, College of Forestry, Oregon State University
Language	English [eng]
Digitization Specifications	File scanned at 300 ppi (256 Grayscale) using Capture Perfect 3.0 on a Canon DR-9050C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces	http://hdl.handle.net/1957/32209
Accessibility Feature	unknown

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