Results 51 to 60 of about 16,323,319 (157)
A Generalized Model for Fuzzy Linear Programs with Trapezoidal Fuzzy Numbers [PDF]
In this paper, we generalize a linear programming problem with symmetric trapezoidal fuzzy number which is introduced by Ganesan and et al. in [3] to a general kind of trapezoidal fuzzy number.
Seyed Hadi Nasseri +2 more
doaj +1 more source
Oil Production-Energy Consumption Relationship Modeling Using Generalized Linear Model
This study investigates the relationship between energy consumption and oil production in petroleum extraction using a Generalized Linear Model (GLM).
Qian Wei +6 more
doaj +1 more source
FedGMMAT: Federated generalized linear mixed model association tests.
Increasing genetic and phenotypic data size is critical for understanding the genetic determinants of diseases. Evidently, establishing practical means for collaboration and data sharing among institutions is a fundamental methodological barrier for ...
Wentao Li +3 more
doaj +1 more source
Nonlinear unmixing of hyperspectral images using a generalized bilinear model [PDF]
Nonlinear models have recently shown interesting properties for spectral unmixing. This paper studies a generalized bilinear model and a hierarchical Bayesian algorithm for unmixing hyperspectral images. The proposed model is a generalization not only of
Altmann, Yoann +9 more
core +1 more source
Generalized Linear Rule Models
This paper considers generalized linear models using rule-based features, also referred to as rule ensembles, for regression and probabilistic classification. Rules facilitate model interpretation while also capturing nonlinear dependences and interactions.
Dennis Wei +3 more
openaire +3 more sources
The estimation of forest biomass is important for practical issues and scientific purposes in forestry. The estimation of forest biomass on a large-scale level would be merely possible with the application of generalized single-tree biomass models.
L.Y. Fu +4 more
doaj +1 more source
The selection of optimal designs for generalized linear mixed models is complicated by the fact that the Fisher information matrix, on which most optimality criteria depend, is computationally expensive to evaluate.
Waite, Timothy W +3 more
core +1 more source
The model description for the generalized linear model and the generalized linear mixed model.
The model description for the generalized linear model and the generalized linear mixed model.
Donnie Mategula (6474432) +1 more
core +1 more source
Large Sample Theory for Some Ridge-Type Regression Estimators
This paper provides a large sample theory for some ridge-type multiple linear regression estimators, including Liu-type regression estimators, when the number of predictors is fixed.
Yu Jin, David J. Olive
doaj +1 more source
Statistical model assumptions achieved by linear models: classics and generalized mixed
When an agricultural experiment is completed and the data about the response variable is available, it is necessary to perform an analysis of variance.
Rita Carolina de Melo +4 more
doaj +1 more source

