Md. Mahabubur Rahman

Dr. Md. Mahabubur Rahman

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 May 2018 in Pakistan Journal of Statistics and Operation Research
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Journal Article
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MRMd. Mahabubur Rahman
Md. Mahabubur Rahman
BABander Al-Zahrani
Bander Al-Zahrani
MSMuhammad Qaiser Shahbaz
Muhammad Qaiser Shahbaz
A General Transmuted Family of Distributions

29 August 2018 in Annals of Data Science
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Journal Article
Closed access
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MRMd. Mahabubur Rahman
Md. Mahabubur Rahman
BABander Al-Zahrani
Bander Al-Zahrani
MSMuhammad Shahbaz
Muhammad Shahbaz

25 July 2019 in European Journal of Pure and Applied Mathematics
Verified
Journal Article
Open access
PDF file
MRMd. Mahabubur Rahman
Md. Mahabubur Rahman
BABander Al-Zahrani
Bander Al-Zahrani
SHSaman Hanif
Saman Hanif
MSMuhammad Shahbaz
Muhammad Shahbaz
In this article, a new cubic transmuted (CT) family of distributions has been proposed by adding one more parameter. We have introduced cubic transmuted uniform (CTU) distribution by using the proposed class. We have also provided a detail description of the statistical properties of the proposed CTU distribution along with its estimation and real-life application.

6 March 2020 in Pakistan Journal of Statistics and Operation Research
Verified
Journal Article
Open access
PDF file
MRMd. Mahabubur Rahman
Md. Mahabubur Rahman
BABander Al-Zahrani
Bander Al-Zahrani
SHSaman Hanif
Saman Hanif
MSMuhammad Shahbaz
Muhammad Shahbaz
Transmutation is the functional composition of the cumulative distribution function (cdf) of one distribution with the inverse cumulative distribution function (quantile function) of another. Shaw and Buckley(2007), first apply this concept and introduced quadratic transmuted family of distributions. In this article, we have presented a review about the transmuted families of distributions. We have also listed the transmuted distributions, available in the literature along with some concluding remarks.

1 September 2023 in AIP Advances
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Journal Article
Open access
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MRMd. Mahabubur Rahman
Md. Mahabubur Rahman
AGAhmed M. Gemeay
Ahmed M. Gemeay
AKAwwal Islam Khan
Awwal Islam Khan
MAMeraou Mohammed Amine
Meraou Mohammed Amine
MBMahmoud E. Bakr
Mahmoud E. Bakr
OBOluwafemi Samson Balogun
Oluwafemi Samson Balogun
Generating new statistical models is one of the most commonly used methods to represent real-life occurrences. Sometimes, with a known distribution, it may not be possible to represent a scenario, so we may consider generalization to incorporate more variance in the data. In this article, we offer a modified cubic transmuted-G family of distributions to enrich the members of the second-order transmuted distributions. By utilizing this modified class of distributions, we build a new distribution entitled the modified cubic transmuted Rayleigh distribution, along with its distributional features, estimate, associated inference, and real-life applications.

11 January 2019 in Annals of Data Science
Verified
Journal Article
Closed access
PDF file
MRMd. Mahabubur Rahman
Md. Mahabubur Rahman
BABander Al-Zahrani
Bander Al-Zahrani
MSMuhammad Shahbaz
Muhammad Shahbaz