Confidence Intervals for the Difference and Ratio of Two Variances of Delta–Inverse Gaussian Distributions
Accurate statistical inference for zero-inflated and highly skewed data requires confidence interval procedures with a strong finite-sample performance. The delta–inverse Gaussian distribution provides a flexible framework for modeling such data by combining a point mass at zero with an inverse Gaus...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2026-02-01
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| Serie: | Mathematics |
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| Accesso online: | https://www.mdpi.com/2227-7390/14/3/536 |
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