Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Curto, J. (2023). Confidence intervals for means and variances of nonnormal distributions. Communications in Statistics-Simulation and Computation. 52 (9), 4414-4430
Exportar Referência (IEEE)
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
Exportar BibTeX
@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"
}
Exportar RIS
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  -