The measures are compared by the simulation study and discussed by three unaided distance vision data.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:The Uniform Association (UA) and Quasi-Uniform Association (QUA) models are used for analysis of two-way square contingency tables with ordered categories.
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Temel Bulgular & Veri:When the QUA model does not fit the data, one wants to measure the degree of departure from the quasi-uniform association model.
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Sonuç & Katkı:The measures are compared by the simulation study and discussed by three unaided distance vision data.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Square contingency tables · Ordinal categories · Uniform association model
Abstract
The Uniform Association (UA) and Quasi-Uniform Association (QUA) models are used for analysis of two-way square contingency tables with ordered categories. When the QUA model does not fit the data, one wants to measure the degree of departure from the quasi-uniform association model. The degree of the departure from the model is calculated by using the power divergence statistics. In this study, as an alternative to measures in the literature, a measure to estimate the degree of departure from the QUA model is suggested. This suggested measure allows us to compare the several R×R tables in terms of the departure from the model. The measures are compared by the simulation study and discussed by three unaided distance vision data.
Aktaş, S., Yılmaz, A. E. (2021). DEPARTURE FROM QUASI-UNIFORM ASSOCIATION MODEL IN ORDERED SQUARE CONTINGENCY TABLES. Mugla Journal of Science and Technology, Volume: 7 Issue: 2. https://doi.org/10.22531/muglajsci.960976
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