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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2023
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2310.18858 |
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| _version_ | 1866929412241358848 |
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| author | Hu, Jun Alanazi, Ibtihal Wang, Zhe |
| author_facet | Hu, Jun Alanazi, Ibtihal Wang, Zhe |
| contents | Given a gamma population with known shape parameter $α$, we develop a general theory for estimating a function $g(\cdot)$ of the scale parameter $β$ with bounded variance. We begin by defining a sequential sampling procedure with $g(\cdot)$ satisfying some desired condition in proposing the stopping rule, and show the procedure enjoys appealing asymptotic properties. After these general conditions, we substitute $g(\cdot)$ with specific functions including the gamma mean, the gamma variance, the gamma rate parameter, and a gamma survival probability as four possible illustrations. For each illustration, Monte Carlo simulations are carried out to justify the remarkable performance of our proposed sequential procedure. This is further substantiated with a real data study on weights of newly born babies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_18858 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Estimating a function of the scale parameter in a gamma distribution with bounded variance Hu, Jun Alanazi, Ibtihal Wang, Zhe Methodology Given a gamma population with known shape parameter $α$, we develop a general theory for estimating a function $g(\cdot)$ of the scale parameter $β$ with bounded variance. We begin by defining a sequential sampling procedure with $g(\cdot)$ satisfying some desired condition in proposing the stopping rule, and show the procedure enjoys appealing asymptotic properties. After these general conditions, we substitute $g(\cdot)$ with specific functions including the gamma mean, the gamma variance, the gamma rate parameter, and a gamma survival probability as four possible illustrations. For each illustration, Monte Carlo simulations are carried out to justify the remarkable performance of our proposed sequential procedure. This is further substantiated with a real data study on weights of newly born babies. |
| title | Estimating a function of the scale parameter in a gamma distribution with bounded variance |
| topic | Methodology |
| url | https://arxiv.org/abs/2310.18858 |