Withdrawn: A New One Parameter Unit Distribution: Median Based Unit Rayleigh (Mbur): Parametric Quantile Regression Model
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This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/17804185.
Parametric quantile regression is illustrated for the one parameter new unit Rayleigh distribution called Median Based Unit Rayleigh distribution (MBUR) distribution. The estimation process using reparameterized maximum likelihood function is highlighted with real dataset example. The inference and goodness of fit is also explored.
This withdrawn article is interesting and novel, full text was accessed at OSF
https://doi.org/10.31219/osf.io/x9qnt
Original Publication Date
October 18, 2024
Public Data
https://stats.oecd.org/index.aspx?DataSetCode=BLI
Research Square
https://doi.org/10.21203/rs.3.rs-5291523/v1
Version 1
posted 21 Oct, 2024
TechRxiv. October 23, 2024.DOI: 10.36227/techrxiv.172972020.016…
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/17804185.
Parametric quantile regression is illustrated for the one parameter new unit Rayleigh distribution called Median Based Unit Rayleigh distribution (MBUR) distribution. The estimation process using reparameterized maximum likelihood function is highlighted with real dataset example. The inference and goodness of fit is also explored.
This withdrawn article is interesting and novel, full text was accessed at OSF
https://doi.org/10.31219/osf.io/x9qnt
Original Publication Date
October 18, 2024
Public Data
https://stats.oecd.org/index.aspx?DataSetCode=BLI
Research Square
https://doi.org/10.21203/rs.3.rs-5291523/v1
Version 1
posted 21 Oct, 2024
TechRxiv. October 23, 2024.DOI: 10.36227/techrxiv.172972020.01620462/v1
18 Oct 2024 Submitted to TechRxiv
23 Oct 2024 Published in TechRxiv
Submitted:
10 May 2025
Posted:
12 May 2025
Withdrawn:
27 November 2025
On arXiv, author self Comments: It contains a fatal error in methodology.
The author is working on it to correct it
Subjects:Methodology (stat.ME); Probability (math.PR)
Cite as:arXiv:2410.14857 [stat.ME] (or arXiv:2410.14857v3 [stat.ME] ) https://doi.org/10.48550/arXiv.2410.14857
We look forward to the author's new amended work, and wish the author every success in the next submission.
Competing interests
The authors declare that they have no competing interests.
Use of Artificial Intelligence (AI)
The authors declare that they did not use generative AI to come up with new ideas for their review.
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