Inference for Error-Prone Count Data: Estimation under a Binomial Convolution Framework
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| Main Authors: | , , , , |
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2025
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| _version_ | 1866902276581359616 |
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| author | Yang, Yuqiu Potgieter, Cornelis Christina, Vu Xinlei, Wang Akihito, Kamata |
| author_facet | Yang, Yuqiu Potgieter, Cornelis Christina, Vu Xinlei, Wang Akihito, Kamata |
| contents | <p>Datasets as well as code snippets used to reproduce the findings of "Inference for Error-Prone Count Data: Estimation under a Binomial Convolution Framework". The analysis code is avaiable at <a href="https://github.com/Yuqiu-Yang/binomialConvolution.ORA" target="_blank" rel="noopener">https://github.com/Yuqiu-Yang/binomialConvolution.ORA</a></p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15750744 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Inference for Error-Prone Count Data: Estimation under a Binomial Convolution Framework Yang, Yuqiu Potgieter, Cornelis Christina, Vu Xinlei, Wang Akihito, Kamata Statistics Education <p>Datasets as well as code snippets used to reproduce the findings of "Inference for Error-Prone Count Data: Estimation under a Binomial Convolution Framework". The analysis code is avaiable at <a href="https://github.com/Yuqiu-Yang/binomialConvolution.ORA" target="_blank" rel="noopener">https://github.com/Yuqiu-Yang/binomialConvolution.ORA</a></p> <p> </p> |
| title | Inference for Error-Prone Count Data: Estimation under a Binomial Convolution Framework |
| topic | Statistics Education |
| url | https://doi.org/10.5281/zenodo.15750744 |