Buscar
Mostrando ítems 31-40 de 39732
Bayesian identification of electromechanical properties in piezoelectric energy harvesters
(Elsevier, 2020)
The model updating of the electro-mechanical properties of Piezoelectric Energy
Harvesters (PEHs) using experimental data within a Bayesian inference setting is discussed.
The implementation requires: a predictive model ...
Two-Way Selection for Daily Gain and Feed Conversion in a Composite Rabbit Population
(1997-09-01)
We conducted a two-way selection experiment in a composite rabbit population to investigate the responses to selection for postweaning ADG and feed conversion (FC). Two generations of crossing, followed by four generations ...
Two-Way Selection for Daily Gain and Feed Conversion in a Composite Rabbit Population
(1997-09-01)
We conducted a two-way selection experiment in a composite rabbit population to investigate the responses to selection for postweaning ADG and feed conversion (FC). Two generations of crossing, followed by four generations ...
Mixed models and multivariate analysis for selection of superior maize genotypes
(2016-01-01)
Selections via the mixed model and the multivariate analysis approach can be powerful tools for selecting cultivars in plant breeding programs. Therefore, this study aimed to compare the use of mixed models, multivariate ...
Proposal and Solution of a Mixed-Integer Nonlinear Optimization Model That Incorporates Future Preparedness for Project Portfolio Selection
(2019-01-01)
In the context of project management, the attention given to project portfolio management has increased in recent years. The use of mathematical programming for portfolio management is also on the rise, because it integrates ...
Evaluation of statistical methods and sampling designs for the assessment of microhabitat selection based on point data
(British Ecological Society, 2016-11)
Information on resource selection by a species is essential for understanding the species’ ecology, distribution and requirements for survival. Research on habitat selection frequently relies on animal detection at point ...
Polynomial order selection in random regression models via penalizing adaptively the likelihood
(Wiley, 2015-08)
Orthogonal Legendre polynomials (LP) are used to model the shape of additive genetic and permanent environmental effects in random regression models (RRM). Frequently, the Akaike (AIC) and the Bayesian (BIC) information ...