Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lihki Rubio"'
Publikováno v:
Mathematics, Vol 11, Iss 23, p 4792 (2023)
The survival of a company has been a topic of growing interest in the scientific community. Measuring the life expectancy of Portuguese telecommunications companies using generalized log-gamma (GLG) distribution is a new research endeavor. Regarding
Externí odkaz:
https://doaj.org/article/e74a7d86106e4576887c1c43855883dd
Autor:
Lihki Rubio, Keyla Alba
Publikováno v:
Mathematics, Vol 10, Iss 13, p 2181 (2022)
Forecasting future values of Colombian companies traded on the New York Stock Exchange is a daily challenge for investors, due to these stocks’ high volatility. There are several forecasting models for forecasting time series data, such as the auto
Externí odkaz:
https://doaj.org/article/528419adcd354014a3d0b6889410ed76
Publikováno v:
Mathematics, Vol 9, Iss 20, p 2538 (2021)
Forecasting has become essential in different economic sectors for decision making in local and regional policies. Therefore, the aim of this paper is to use and compare performance of two linear models to predict future values of a measure of real p
Externí odkaz:
https://doaj.org/article/aab9472c7f014a23aae5077adc70e930
Publikováno v:
Energy. 274:127365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b9ea129e25d3b7fbc510258109f1095
https://doi.org/10.1016/j.energy.2023.127365
https://doi.org/10.1016/j.energy.2023.127365
Publikováno v:
Mathematics, Vol 9, Iss 2538, p 2538 (2021)
Mathematics
Volume 9
Issue 20
Mathematics
Volume 9
Issue 20
Forecasting has become essential in different economic sectors for decision making in local and regional policies. Therefore, the aim of this paper is to use and compare performance of two linear models to predict future values of a measure of real p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e0c5e39f3f0ac40bfaadae95b745d02
https://www.mdpi.com/2227-7390/9/20/2538
https://www.mdpi.com/2227-7390/9/20/2538
Publikováno v:
Numerical Methods for Partial Differential Equations. 32:1265-1288
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f3617add3a40c707d8fcd86ccea079b
https://doi.org/10.1002/num.22051
https://doi.org/10.1002/num.22051