Zobrazeno 1 - 10
of 49
pro vyhledávání: '"EDILBERTO CEPEDA CUERVO"'
Publikováno v:
Earth Sciences Research Journal, Vol 22, Iss 2, Pp 83-90 (2018)
Time series models are often used in hydrology and meteorology studies to model streamflows series in order to make forecasting and generate synthetic series which are inputs for the analysis of complex water resources systems. In thispaper we intro
Externí odkaz:
https://doaj.org/article/44a1479bcf2a416e97b33a5bcf6465e6
Publikováno v:
Economia Aplicada, Vol 18, Iss 2, Pp 179-197 (2014)
In this paper, we present a brief description of ARCH, GARCH and EGARCH models. Usually, their parameter estimates are obtained using maximum likelihood methods. Considering new methodological processes to model the volatilities of time series, we ne
Externí odkaz:
https://doaj.org/article/4c58e5e3e2f54ac7bb99e882359f29a9
Publikováno v:
Revista Colombiana de Estadística, Vol 33, Iss 1, Pp 63-88 (2010)
This paper presents a frequentist comparison of the performance of confidence and credibility intervals for the difference of two proportions from two independent samples. The comparison is carried out considering three frequentist criteria. It was f
Externí odkaz:
https://doaj.org/article/3b6446629158426b9785a094fa5e083d
Publikováno v:
Revista Colombiana de Estadística, Vol 32, Iss 2, Pp 267-287 (2009)
In this paper, we compare the performance of two statistical approaches for the analysis of data obtained from the social research area. In the first approach, we use normal models with joint regression modelling for the mean and for the variance het
Externí odkaz:
https://doaj.org/article/d1150b8d1dfb4f6184e3bac88df08cb1
Publikováno v:
Revista Iberoamericana de Educación, Vol 43, Iss 4, Pp 1-7 (2007)
Este artículo presenta resultados de procesos investigativos en los cuales se determinaron factores del entorno social del estudiante que inciden en la calidad de su nivel de desarrollo académico y personal. Estos resultados son las conclusiones a
Externí odkaz:
https://doaj.org/article/b908f46991474f2aa68734a2da152947
Publikováno v:
Austrian Journal of Statistics, Vol 53, Iss 3 (2024)
In this paper we propose nonlinear regression models in the biparametric family of distributions. In this class of models we propose two new classes of overdispersed nonlinear regression models: the first, defined from the overdispersion family of di
Externí odkaz:
https://doaj.org/article/d523e5cd12c447818b083715a3873e60
Publikováno v:
Revista Colombiana de Estadística. 45:341-361
In this paper we propose Bayesian methods to fit econometric regression models, including those where the variability is assumed to follow a regression structure. We formulate the main functions of the statistical R-package BSPADATA, developed accord
Publikováno v:
Sankhya B. 84:809-830
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 15:98-111
Publikováno v:
Journal of Mathematics and Statistics. 16:1-8
This paper proposes new linear regression models to deal with overdispersed binomial datasets. These new models, called tilted beta binomial regression models, are defined from the tilted beta binomial distribution, proposed assuming that the paramet