Abstract
In recent years, there has been growing interest in statistical models incorporating inequality constraints on model parameters. This is because the omnibus hypotheses can be replaced by more specific inequality constrained hypotheses [2]. In the extensive review in [3], literature is discussed on order restricted statistical models for contingency tables. What becomes clear in this review is that many order restricted models can be estimated and tested – however, not without thorough technical knowledge of the matter. Even if the software is provided, still the (applied) researcher is required to know a great deal about parameterizations of log-linear models.
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Laudy, O. (2008). Inequality Constrained Contingency Table Analysis. In: Hoijtink, H., Klugkist, I., Boelen, P.A. (eds) Bayesian Evaluation of Informative Hypotheses. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-0-387-09612-4_12
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DOI: https://doi.org/10.1007/978-0-387-09612-4_12
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