Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Oscar O. Melo"'
Publikováno v:
Revista Colombiana de Estadística, Vol 36, Iss 1, Pp 153-176 (2013)
A methodology is proposed to jointly model treatments with quantitative levels measured throughout time by combining the response surface and growth curve techniques. The model parameters, which measure the effect throughout time of the factors relat
Externí odkaz:
https://doaj.org/article/597153116d594491927761d87d3312f0
Autor:
Carolina Chegwin-Angarita, Ivonne J. Nieto-Ramírez, Diego Felipe Rubiano Flórez, Oscar O. Melo
Publikováno v:
Revista Colombiana de Biotecnología, Volume: 21, Issue: 1, Pages: 39-46, Published: JUN 2019
Revista Colombiana de Biotecnología, Vol 21, Iss 1 (2019)
Revista Colombiana de Biotecnología, Vol 21, Iss 1 (2019)
RESUMEN Los macromicetos han adquirido gran interés por su importancia alimenticia, terapéutica y económica, razón por la cual es necesario enfocar esfuerzos en la búsqueda de optimizar su producción de biomasa. El presente trabajo buscó deter
Publikováno v:
BASE-Bielefeld Academic Search Engine
A new method based on distances for modeling continuous random data in Gaussian random fields is presented. In non-stationary cases in which a trend or drift is present, dealing with information in regionalized mixed variables (including categorical,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe5471645e3c872026c931b1862023f8
Publikováno v:
Communications in Statistics - Theory and Methods. 48:2827-2841
In this paper, we propose and develop a doubly restricted exponential dispersion model, i.e. a varying dispersion generalized linear model with two sets of restrictions, a set of linear restrictions for the mean response, and at the same time, for an
Publikováno v:
Spatial Statistics. 19:1-20
According to Cressie (1991), the median polish kriging (MPK) is a hybrid method for predicting of spatial data in a two dimensional surface. It combines a kriging interpolator and an analysis of tables. As a result of the effect of a directional tren
Publikováno v:
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
BMC Veterinary Research
BASE-Bielefeld Academic Search Engine
BMC Veterinary Research, Vol 15, Iss 1, Pp 1-8 (2019)
IRTA Pubpro. Open Digital Archive
Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Universitat Autònoma de Barcelona
BMC Veterinary Research
BASE-Bielefeld Academic Search Engine
BMC Veterinary Research, Vol 15, Iss 1, Pp 1-8 (2019)
IRTA Pubpro. Open Digital Archive
Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Zaida Liliana Cárdenas Contreras holds a Ph.D. grant from the Ministry of Education in Colombia (COLCIENCIAS 617/2013 scholarship). Bovine brucellosis is a zoonotic disease that causes substantial economic losses and has a strong impact on public he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6b9a088140d99f76e6fb49bec2a4531
http://hdl.handle.net/20.500.12327/438
http://hdl.handle.net/20.500.12327/438
Publikováno v:
Revista de Salud Pública. 18:238-250
Objetivos. Formular un modelo multinivel para el análisis longitudinal de la tasa global de ganancia de peso en el Programa Madre Canguro. Metodología. Se realiza un modelo multinivel, considerando en el primer nivel la variable tiempo y algunas va
Publikováno v:
Statistica Neerlandica. 70:47-76
We propose a beta spatial linear mixed model with variable dispersion using Monte Carlo maximum likelihood. The proposed method is useful for those situations where the response variable is a rate or a proportion. An approach to the spatial generaliz
Publikováno v:
Journal of Applied Statistics. 43:1198-1225
We present a solution to problems where the response variable is a count, a rate or binary using a generalised linear space–time autoregressive model with space–time autoregressive disturbances (GLSTARAR). The possibility to test the fixed effect
Publikováno v:
BASE-Bielefeld Academic Search Engine
In the context of regression with a beta-type response variable, we propose a new method that links two methodologies: a distance-based model, and a beta regression with variable dispersion. The proposed model is useful for those situations where the