Copy For Citation
Altun G., SARAÇBAŞI T.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, vol.51, no.7, pp.4087-4111, 2022 (SCI-Expanded)
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Publication Type:
Article / Article
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Volume:
51
Issue:
7
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Publication Date:
2022
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Doi Number:
10.1080/03610918.2020.1736301
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Journal Name:
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
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Journal Indexes:
Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Business Source Elite, Business Source Premier, CAB Abstracts, Compendex, Computer & Applied Sciences, Veterinary Science Database, zbMATH, Civil Engineering Abstracts
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Page Numbers:
pp.4087-4111
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Keywords:
Measure of departure, Power-divergence family, Square contingency tables, Symmetry model, STATISTICS
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Hacettepe University Affiliated:
No
Abstract
In this study, we propose a gradation to decide the model fitting under the symmetry model by using the departure measure. An extensive simulation study under different parameter settings and scenarios is conducted to introduce a gradation on unit interval. The proposed gradation provides an opportunity to decide the model fitting under the symmetry model when the chi-squared assumption does not hold for small sample sizes. The usefulness of proposed gradation is proved empirically using four applications to real data sets.