Penalized Fieller’s Confidence Interval for the Ratio of Bivariate Normal Means
| Autor: | Peng Wang, Guimin Gao, Siqi Xu, Nianjun Liu, Baolin Wu, Wing K. Fung, Zhijiang Liang, Yi-Xin Wang |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Likelihood Functions General Immunology and Microbiology Applied Mathematics Interval estimation Coverage probability Multivariate normal distribution General Medicine Bivariate analysis Interval (mathematics) General Biochemistry Genetics and Molecular Biology Confidence interval Article Nominal level Research Design Bounded function Confidence Intervals Applied mathematics Computer Simulation General Agricultural and Biological Sciences Mathematics |
| Zdroj: | Biometrics |
| Popis: | Constructing a confidence interval for the ratio of bivariate normal means is a classical problem in statistics. Several methods have been proposed in the literature. The Fieller method is known as an exact method, but can produce an unbounded confidence interval if the denominator of the ratio is not significantly deviated from 0; while the delta and some numeric methods are all bounded, they are only first-order correct. Motivated by a real-world problem, we propose the penalized Fieller method, which employs the same principle as the Fieller method, but adopts a penalized likelihood approach to estimate the denominator. The proposed method has a simple closed form, and can always produce a bounded confidence interval by selecting a suitable penalty parameter. Moreover, the new method is shown to be second-order correct under the bivariate normality assumption, that is, its coverage probability will converge to the nominal level faster than other bounded methods. Simulation results show that our proposed method generally outperforms the existing methods in terms of controlling the coverage probability and the confidence width and is particularly useful when the denominator does not have adequate power to reject being 0. Finally, we apply the proposed approach to the interval estimation of the median response dose in pharmacology studies to show its practical usefulness. |
| Databáze: | OpenAIRE |
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