JSM 2004 - Toronto

Abstract #301286

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Activity Number: 404
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #301286
Title: Statistical Analysis Software for Multiplicative Interaction Models
Author(s): Eun-Joo Lee*+ and Dallas E. Johnson+
Companies: Kansas State University and Kansas State University
Address: , , , , , ,
Keywords: AMMI ; genotype/environmental interaction ; two-way experiments
Abstract:

In a two-way cross-classified experiment, one is almost always interested in whether the two factors interact or not. When there are no independent replications there are no traditional tests for interaction. This research considers the problem of analyzing a two-way cross-classified experiment using multiplicative interaction models when there are no independent replications and interaction between the two factors may exist. There is no generalized software readily available for the analysis of multiplicative interaction models. SAS macros have been developed to provide user-friendly statistical software for the analysis of the interaction in two-way experiments. The software also provides many useful graphical displays to help determine the pattern of interaction and to help one interpret the results of the analyses. The presentation will describe the macros and illustrate them with examples.


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