A new statistical approach for modeling the bladder cancer and leukemia patients data sets: Case studies in the medical sector
Statistical methods are frequently used in numerous healthcare and other related sectors. One of the possible applications of the statistical methods is to provide the best description of the data sets in the healthcare sector. Keeping in view the applicability of statistical methods in the medical...
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| Format: | Article |
| Language: | English |
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AIMS Press
2022-07-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022490?viewType=HTML |
| _version_ | 1828429779242582016 |
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| author | Mahmoud El-Morshedy Zubair Ahmad Elsayed tag-Eldin Zahra Almaspoor Mohamed S. Eliwa Zahoor Iqbal |
| author_facet | Mahmoud El-Morshedy Zubair Ahmad Elsayed tag-Eldin Zahra Almaspoor Mohamed S. Eliwa Zahoor Iqbal |
| author_sort | Mahmoud El-Morshedy |
| collection | DOAJ |
| description | Statistical methods are frequently used in numerous healthcare and other related sectors. One of the possible applications of the statistical methods is to provide the best description of the data sets in the healthcare sector. Keeping in view the applicability of statistical methods in the medical sector, numerous models have been introduced. In this paper, we also introduce a novel statistical method called, a new modified-G family of distributions. Several mathematical properties of the new modified-G family are derived. Based on the new modified-G method, a new updated version of the Weibull model called, a new modified-Weibull distribution is introduced. Furthermore, the estimators of the parameters of the new modified-G distributions are also obtained. Finally, the applicability of the new modified-Weibull distribution is illustrated by analyzing two medical sets. Using certain analytical tools, it is observed that the new modified-Weibull distribution is the best choice to deal with the medical data sets. |
| first_indexed | 2024-12-10T17:39:13Z |
| format | Article |
| id | doaj.art-36f8f31ea7d84de9aca87eccd3609a76 |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-12-10T17:39:13Z |
| publishDate | 2022-07-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-36f8f31ea7d84de9aca87eccd3609a762022-12-22T01:39:26ZengAIMS PressMathematical Biosciences and Engineering1551-00182022-07-011910104741049210.3934/mbe.2022490A new statistical approach for modeling the bladder cancer and leukemia patients data sets: Case studies in the medical sectorMahmoud El-Morshedy0Zubair Ahmad 1Elsayed tag-Eldin2Zahra Almaspoor 3Mohamed S. Eliwa4Zahoor Iqbal51. Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia 2. Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt3. Department of Statistics, Yazd University, P.O. Box 89175-741, Yazd, Iran4. Faculty of Engineering and Technology, Future University in Egypt New Cairo 11835, Egypt3. Department of Statistics, Yazd University, P.O. Box 89175-741, Yazd, Iran5. Department of Statistics and Operation Research, College of Science, Qassim University, P.O. Box 6644, Buraydah 51482, Saudi Arabia 6. Department of Statistics and Computer Science, Faculty of Science, Mansoura University, Mansoura 35516, Egypt7. Department of Mathematics, Quaid-i-Azam University, Islamabad 44000, PakistanStatistical methods are frequently used in numerous healthcare and other related sectors. One of the possible applications of the statistical methods is to provide the best description of the data sets in the healthcare sector. Keeping in view the applicability of statistical methods in the medical sector, numerous models have been introduced. In this paper, we also introduce a novel statistical method called, a new modified-G family of distributions. Several mathematical properties of the new modified-G family are derived. Based on the new modified-G method, a new updated version of the Weibull model called, a new modified-Weibull distribution is introduced. Furthermore, the estimators of the parameters of the new modified-G distributions are also obtained. Finally, the applicability of the new modified-Weibull distribution is illustrated by analyzing two medical sets. Using certain analytical tools, it is observed that the new modified-Weibull distribution is the best choice to deal with the medical data sets.https://www.aimspress.com/article/doi/10.3934/mbe.2022490?viewType=HTMLweibull distributionfamily of distributionhealthcare sectorbladder cancerleukemiastatistical modeling |
| spellingShingle | Mahmoud El-Morshedy Zubair Ahmad Elsayed tag-Eldin Zahra Almaspoor Mohamed S. Eliwa Zahoor Iqbal A new statistical approach for modeling the bladder cancer and leukemia patients data sets: Case studies in the medical sector Mathematical Biosciences and Engineering weibull distribution family of distribution healthcare sector bladder cancer leukemia statistical modeling |
| title | A new statistical approach for modeling the bladder cancer and leukemia patients data sets: Case studies in the medical sector |
| title_full | A new statistical approach for modeling the bladder cancer and leukemia patients data sets: Case studies in the medical sector |
| title_fullStr | A new statistical approach for modeling the bladder cancer and leukemia patients data sets: Case studies in the medical sector |
| title_full_unstemmed | A new statistical approach for modeling the bladder cancer and leukemia patients data sets: Case studies in the medical sector |
| title_short | A new statistical approach for modeling the bladder cancer and leukemia patients data sets: Case studies in the medical sector |
| title_sort | new statistical approach for modeling the bladder cancer and leukemia patients data sets case studies in the medical sector |
| topic | weibull distribution family of distribution healthcare sector bladder cancer leukemia statistical modeling |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2022490?viewType=HTML |
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