Anzeige
Erschienen in:
2017 | OriginalPaper | Buchkapitel
5. Checking Model Assumptions
verfasst von : Angela Dean, Daniel Voss, Danel Draguljić
Erschienen in: Design and Analysis of Experiments
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Every model contains underlying assumptions about its form and about the distribution of error variables. In this chapter discusses methods of checking such assumptions for the one-way analysis of variance model, including checking the normality, constant variance, and independence of the errors. In this chapter, and throughout the book, the model assumption checks are made by examining residual plots. In the case of unequal variances, a transformation of data is suggested as well as methods for data analysis which incorporate unequal variances. The normality assumption is checked through construction of half-normal probability plots. A real experiment illustrates the techniques, and the use of SAS and R software is illustrated.