A modified T-X family of distributions: classical and Bayesian analysis Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1080/16583655.2020.1732642
In this article, we propose a new family of distributions, namely, a modified T-X family of distributions. The case of the newly proposed family is advocated with respect to three most attractive features: flexibility, efficiency and parsimony. The statistical features are established through simulation studies. The applicability of the scheme is further assessed by using two diverse data sets. The performance evaluation study is conducted with respect to five existing distributions while considering various goodness-of-fit criteria. Moreover, the estimation of the parameters is delineated under the classic approach and Bayesian framework. Based on the findings of this research, we see our proposition as a more efficient and parsimonious alternative to the existing well-known cubic transmutation family of distributions. Finally, the flexible nature of the devised family of distributions may project as a useful candidate in survival analysis and reliability theory.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/16583655.2020.1732642
- https://www.tandfonline.com/doi/pdf/10.1080/16583655.2020.1732642?needAccess=true
- OA Status
- gold
- Cited By
- 16
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3009026753
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3009026753Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1080/16583655.2020.1732642Digital Object Identifier
- Title
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A modified T-X family of distributions: classical and Bayesian analysisWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Muhammad Aslam, Zahid Asghar, Zawar Hussain, Said Farooq ShahList of authors in order
- Landing page
-
https://doi.org/10.1080/16583655.2020.1732642Publisher landing page
- PDF URL
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https://www.tandfonline.com/doi/pdf/10.1080/16583655.2020.1732642?needAccess=trueDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.tandfonline.com/doi/pdf/10.1080/16583655.2020.1732642?needAccess=trueDirect OA link when available
- Concepts
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Bayesian probability, Reliability (semiconductor), Flexibility (engineering), Goodness of fit, Mathematics, Computer science, Probability distribution, Statistics, Data mining, Econometrics, Algorithm, Physics, Power (physics), Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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16Total citation count in OpenAlex
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2025: 4, 2024: 1, 2023: 1, 2022: 2, 2021: 8Per-year citation counts (last 5 years)
- References (count)
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22Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W1588819017, https://openalex.org/W2106372982, https://openalex.org/W2766801969, https://openalex.org/W2168504156, https://openalex.org/W2036209393, https://openalex.org/W2143902124, https://openalex.org/W2029645921, https://openalex.org/W1964366808, https://openalex.org/W2892009213, https://openalex.org/W2518412864, https://openalex.org/W2712589975, https://openalex.org/W2473549009, https://openalex.org/W2973984953, https://openalex.org/W2923373645, https://openalex.org/W2169201000, https://openalex.org/W2724476899, https://openalex.org/W1580211559, https://openalex.org/W6686641467, https://openalex.org/W2185320489, https://openalex.org/W2786174035, https://openalex.org/W2951780412, https://openalex.org/W3126072233 |
| referenced_works_count | 22 |
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| corresponding_author_ids | https://openalex.org/A5100626825 |
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| corresponding_institution_ids | https://openalex.org/I79839403 |
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