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) 
José H. Dias Gonçalves, João J. Ferreira Gomes, Rubio, L.J. & Ramos, F.R. (2023). A Generalized Log Gamma Approach: Theoretical Contributions and an Application to Companies’ Life Expectancy. Mathematics. 11 (23)
Exportar Referência (IEEE) 
J. H. Gonçalves et al.,  "A Generalized Log Gamma Approach: Theoretical Contributions and an Application to Companies’ Life Expectancy", in Mathematics, vol. 11, no. 23, 2023
Exportar BibTeX 
@article{gonçalves2023_1732393028704,
	author = "José H. Dias Gonçalves and João J. Ferreira Gomes and Rubio, L.J. and Ramos, F.R.",
	title = "A Generalized Log Gamma Approach: Theoretical Contributions and an Application to Companies’ Life Expectancy",
	journal = "Mathematics",
	year = "2023",
	volume = "11",
	number = "23",
	doi = "10.3390/math11234792",
	url = "https://doi.org/10.3390/math11234792"
}
Exportar RIS 
TY  - JOUR
TI  - A Generalized Log Gamma Approach: Theoretical Contributions and an Application to Companies’ Life Expectancy
T2  - Mathematics
VL  - 11
IS  - 23
AU  - José H. Dias Gonçalves
AU  - João J. Ferreira Gomes
AU  - Rubio, L.J.
AU  - Ramos, F.R.
PY  - 2023
SN  - 2227-7390
DO  - 10.3390/math11234792
UR  - https://doi.org/10.3390/math11234792
AB  - The survival of a company has been a topic of growing interest in the scientific community. Measuring the life expectancy of Portuguese telecommunication companies using generalized log-gamma (GLG) distribution is a new research endeavor. Regarding the new theoretical con-tributions, original expressions for the moments and mode of the GLG distribution are presented. In this empirical study, data on the entrepreneurial fabric in the Information and Communication sector from 2004 to 2018, when some companies were born or died, were used. In addition to the GLG, three other statistical distributions with two parameters are analyzed: gamma, Weibull, and log-normal. Maximum likelihood parameters and confidence intervals for survival probabilities are estimated and compared. The Akaike information criterion is used to compare the perfor-mance of the four estimated models. The results show that GLG distribution is a promising so-lution to assess the resilience and longevity of a firm.
ER  -