Use of Lambert W function in the simulation of Weibull and non-Weibull distributions
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
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2025
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| _version_ | 1866912293030199296 |
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| author | Patra, Subhashree Bhattacharjee, Subarna |
| author_facet | Patra, Subhashree Bhattacharjee, Subarna |
| contents | In this work, we have taken up some distributions, mostly Weibull family, whose quantile functions could not be obtained using the traditional inversion method. We have solved the same quantile functions by using the inversion method only, with the additional help of transcendental functions like the Lambert W function. The usage of the Lambert W function has helped derive closed-form solutions for mathematical models in many fields, for which explicit or exact solutions were not available and approximation was the only known way of approaching it. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_19524 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Use of Lambert W function in the simulation of Weibull and non-Weibull distributions Patra, Subhashree Bhattacharjee, Subarna Computation Probability In this work, we have taken up some distributions, mostly Weibull family, whose quantile functions could not be obtained using the traditional inversion method. We have solved the same quantile functions by using the inversion method only, with the additional help of transcendental functions like the Lambert W function. The usage of the Lambert W function has helped derive closed-form solutions for mathematical models in many fields, for which explicit or exact solutions were not available and approximation was the only known way of approaching it. |
| title | Use of Lambert W function in the simulation of Weibull and non-Weibull distributions |
| topic | Computation Probability |
| url | https://arxiv.org/abs/2503.19524 |