منابع مشابه
Default Bayes factors for ANOVA designs
Bayes factors have been advocated as superior to p-values for assessing statistical evidence in data. Despite the advantages of Bayes factors and the drawbacks of p-values, inference by p-values is still nearly ubiquitous. One impediment to the adoption of Bayes factors is a lack of practical development, particularly a lack of ready-to-use formulas and algorithms. In this paper, we discuss and...
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Analysis of variance (ANOVA) is the most efficient method available for the analysis of experimental data. Analysis of variance is a method of considerable complexity and subtlety, with many different variations, each of which applies in a particular experimental context. Hence, it is possible to apply the wrong type of ANOVA to data and, therefore, to draw an erroneous conclusion from an exper...
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In the past few years, marketing researchers have been increasingly using sophisticated computerized search algorithms to find experimental designs. This paper reviews some fundamentals of experimental design, orthogonality, and balance, and introduces the idea of design efficiency. It then compares some widely available design software including Sawtooth Software's CVA and SAS Institute's OPTE...
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ژورنال
عنوان ژورنال: Revista de Administração Contemporânea
سال: 2011
ISSN: 1415-6555
DOI: 10.1590/s1415-65552011000200016