Diagnostic power of some graphical methods in geometric regression model addressing cervical cancer data Article Swipe
Zawar Hussain
,
Atif Akbar
,
Mohammed M. A. Almazah
,
A. Y. Al-Rezami
,
Fuad S. Alduais
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3934/math.2024198
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3934/math.2024198
In the framework of generalized linear models (GLM), this paper explores the design and applicability of partial residual (PRES), augmented partial residual (APRES), and conditional expectation and residuals (CERES) plots for visualizing an outlier's diagnostics as a function of selected variables. Here, a geometric regression as a GLM is thoroughly described. Additionally, plots for PRES, APRES, and CERES have been built. Due to how the response variable and the associated link function interact with various covariates, the effectiveness of these plots for creating an appealing visual impression may vary. On the cervical cancer data, specific methodologies are used to identify trends for effective modelling. When compared to other approaches, the power of the tests for various plots demonstrates that PRES, CERES (L) and CERES (K) have the greatest endurance for the outlier's diagnostics. On the basis of the power of residual plots, the use is recommended for outlier diagnostics in presence of conventional tests.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3934/math.2024198
- OA Status
- gold
- Cited By
- 2
- References
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- Related Works
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- OpenAlex ID
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https://openalex.org/W4390839652Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3934/math.2024198Digital Object Identifier
- Title
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Diagnostic power of some graphical methods in geometric regression model addressing cervical cancer dataWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-01-01Full publication date if available
- Authors
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Zawar Hussain, Atif Akbar, Mohammed M. A. Almazah, A. Y. Al-Rezami, Fuad S. AlduaisList of authors in order
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goldOpen access status per OpenAlex
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Outlier, Residual, Generalized linear model, Covariate, Linear regression, Statistics, Regression analysis, Regression, Mathematics, Computer science, Data mining, AlgorithmTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
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