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A note on influence diagnostics in nonlinear mixed-effects elliptical models
(ELSEVIER SCIENCE BV, 2011)
This paper provides general matrix formulas for computing the score function, the (expected and observed) Fisher information and the A matrices (required for the assessment of local influence) for a quite general model ...
The geometry of the lactation curve based on Wood’s equation: a two-step prediction
(Brazilian Journal of Animal Science, 2023)
Logically constrained optimal power flow: Solver-based mixed-integer nonlinear programming model
(Elsevier B.V., 2018-04-01)
There is increasing evidence of the shortage of solver-based models for solving logically-constrained AC optimal power flow problem (LCOPF). Although in the literature the heuristic-based models have been widely used to ...
Analysis of potato canopy coverage as assessed through digital imagery by nonlinear mixed effects models
The characterization of the dynamics of canopy coverage represents a
relevant matter of study in the field of crop physiology. The objective of this work
was to calibrate a model able to simulate potato canopy coverage ...
A nonlinear mixed‐effects modeling approach for ecological data: Using temporal dynamics of vegetation moisture as an example
(John Wiley and Sons Ltd, 2019)
Selection of nonlinear mixed models for growth curves of dairy buffaloes (Bubalus bubalis)
(2020-01-01)
The determination of livestock growth patterns is important for meat or milk production systems, and nonlinear models are used to summarize and interpret the information. The aim of this study was to more accurately estimate ...
Assessment of variance components in nonlinear mixed-effects elliptical models
(SpringerNew York, 2012)
The issue of assessing variance components is essential in deciding on the inclusion of random effects in the context of mixed models. In this work we discuss this problem by supposing nonlinear elliptical models for ...
Bayesian inference in nonlinear mixed-effects models using normal independent distributions
(Elsevier Science BvAmsterdamHolanda, 2013)
A nonlinear mixed-effects modeling approach for ecological data: Using temporal dynamics of vegetation moisture as an example
(Wiley, 2019-08-15)
Increasingly, often ecologist collects data with nonlinear trends, heterogeneous variances, temporal correlation, and hierarchical structure. Nonlinear mixed-effects models offer a flexible approach to such data, but the ...
Logistic regression when covariates are random effects from a non-linear mixed model
(WILEY-BLACKWELL, 2011)