Information Theoretical Method for Analyzing Unreplicated Designs with Binary Response
| Autor: | Drosou, Krystallenia, Koukouvinos, Christos |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| DOI: | 10.57805/revstat.v17i3.273 |
| Popis: | The analysis of unreplicated factorial designs constitutes a challenging but difficult issue since there are no degrees of freedom so as to estimate the error variance. In the present paper we propose a method for screening active effects in such designs, assuming Bernoulli distributed data rather than linear; something that hasn’t received much attention yet. Specifically, we develop an innovating algorithm based on an information theoretical measure, the well-known symmetrical uncertainty, so that it can measure the relation between the response variable and each factor separately. The powerfulness of the proposed method is revealed via both, a thorough simulation study and a real data set analysis. REVSTAT-Statistical Journal, Vol. 17 No. 3 (2019): REVSTAT-Statistical Journal |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|