Results 21 to 30 of about 640,764 (331)
The geometry of the lactation curve based on Wood's equation: a two-step prediction
Lactation records from cows of the southwestern Paraná state, Brazil, form the dataset of this study. We applied the information-theoretic approach to evaluate the ability of the nonlinear Wood, Brody, Dijkstra, and Gamma functions to fit to these data ...
Jhone Gleison de Oliveira +6 more
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As an essential parameter in earthquake prediction and risk assessment research, the b-value has received extensive attention and discussion. In this study, we chose a nonlinear mixed model to fit the earthquake magnitude-frequency distribution to the ...
ZHOU Hanyang, DU Jianjun, ZHANG Shuting
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Nonlinearity detection: Advantages of nonlinear mixed-effects modeling [PDF]
The purpose of this study was to address the question of whether the use of nonlinear mixed-effect models has an impact on the detection and characterization of nonlinear processes (pharmacokinetic and pharmacodynamic) in rich data obtained from a few subjects.
E N, Jonsson, J R, Wade, M O, Karlsson
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Nonlinear Mixed-Effects Models for PET Data [PDF]
The current state-of-the-art for compartment modeling of dynamic PET data can be described as a two-stage approach. In Stage 1, individual estimates of kinetic parameters are obtained by fitting models using standard techniques, such as nonlinear least squares, to each individual's data one subject at a time.
Yakuan Chen +2 more
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Individual-tree aboveground biomass (AGB) estimation is vital for precision forestry and still worth exploring using multi-platform LiDAR data for high accuracy and efficiency.
Man Wang +3 more
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Although posaconazole tablets show relatively low variability in pharmacokinetics (PK), the proportion of patients achieving the PK/PD target at the approved uniform dose for both prophylaxis and therapy is not satisfactory.
Eliška Dvořáčková +9 more
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Geoadditive hazard regression for interval censored survival times [PDF]
The Cox proportional hazards model is the most commonly used method when analyzing the impact of covariates on continuous survival times. In its classical form, the Cox model was introduced in the setting of right-censored observations.
Kneib, Thomas
core +4 more sources
Frequentist Conditional Variance for Nonlinear Mixed-Effects Models
AbstractNonlinear mixed-effects models are commonly used in fisheries and ecological studies to account for complex relationships and dependencies in data. These models involve both fixed parameters to estimate and random-effects (REs) to predict. This paper addresses the inferential setting involving repeated sampling of the data but conditional on ...
Nan Zheng, Noel Cadigan
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When dealing with longitudinal data, linear mixed-effects models (LMMs) are often used by researchers. However, LMMs are not always the most adequate models, especially if we expect a nonlinear relationship between the outcome and a continuous covariate.
Sami Leon +3 more
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Clustering in Additive Mixed Models with Approximate Dirichlet Process Mixtures using the EM Algorithm [PDF]
We consider additive mixed models for longitudinal data with a nonlinear time trend. As random effects distribution an approximate Dirichlet process mixture is proposed that is based on the truncated version of the stick breaking presentation of the ...
Heinzl, Felix, Tutz, Gerhard
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