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Curto, J. (2023). Confidence intervals for means and variances of nonnormal distributions. Communications in Statistics-Simulation and Computation. 52 (9), 4414-4430
J. J. Curto, "Confidence intervals for means and variances of nonnormal distributions", in Communications in Statistics-Simulation and Computation, vol. 52, no. 9, pp. 4414-4430, 2023
@article{curto2023_1734953764936, author = "Curto, J.", title = "Confidence intervals for means and variances of nonnormal distributions", journal = "Communications in Statistics-Simulation and Computation", year = "2023", volume = "52", number = "9", doi = "10.1080/03610918.2021.1963448", pages = "4414-4430", url = "https://www.tandfonline.com/journals/lssp20" }
TY - JOUR TI - Confidence intervals for means and variances of nonnormal distributions T2 - Communications in Statistics-Simulation and Computation VL - 52 IS - 9 AU - Curto, J. PY - 2023 SP - 4414-4430 SN - 0361-0918 DO - 10.1080/03610918.2021.1963448 UR - https://www.tandfonline.com/journals/lssp20 AB - In this article, we propose new confidence intervals for the population mean and variance, the ratio of two populations variance, and the difference in the arithmetic averages of two populations with nonnormal distribution. Theoretical and practical aspects of the suggested techniques are presented, as well as their comparison with existing methods based on the estimated coverage probability. The suggested confidence intervals give consistent and best coverage in comparison with other methods. In addition, application of presented methods to a data set in domain of auditing and accounting is described and analyzed. The empirical results confirm the Monte Carlo simulation studies, highlighting the superiority of the now proposed methods. ER -