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Nonlinear Mixed Modeling Approach – An Application to Tree Growth Data
2008 Edition, Volume 1, October 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Nonlinear mixed-effects modeling approach was used to model the individual tree height-age relationship in Mongolian pine (Pinus sylvestris L.var.mongolica Litv.). A set of 345 pairs of height-age measurements was used to fit the model....

A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Diameter at breast height (DBH) is one of the most important tree parameter for forest inventory. In this paper, we present a novel method for the adaptive and the accurate DBH estimation of trees characterized by small and large stems. The method automatically discriminates among...

A data-driven identification of growth-model classes for the adaptive estimation of single-tree stem diameter in LiDAR data
2016 Edition, July 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper we present a growth-model based approach to the accurate estimation of stem diameter at single tree level by using high-density LiDAR data. First, we detect classes of trees characterized by different growth conditions by means...

Statistical analysis of partial discharge data evolved during tree growth
2001 Edition, January 1, 2001 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Partial discharges (PD) have been traditionally used to monitor tree growth in electrical insulation. In this work perspex (PMMA) samples with a needle plane gap have been aged with an AC voltage. The tree growth is monitored simultaneously with collection...

Identification of IVGTT minimal glucose model by nonlinear mixed-effects approaches
2006 Edition, August 1, 2006 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Glucose minimal model parameters are commonly estimated by applying weighted nonlinear least squares to each individual subject's data. Sometimes, parameter precision is not satisfactory, especially in "data poor" conditions. In this work, the use of population...

A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Light Detection and Ranging (LiDAR) data have been widely used to characterize the 3-D structure of the forest. However, their use in a multitemporal framework has been quite limited due to the relevant challenges introduced by the comparison of pairs of point clouds. Because...

Nonlinear Mixed-Effects Models for PET Data
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Objective: 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...

Fitting Longitudinal Mixed Effects Logistic Models in S-Plus
2008 Edition, Volume 1, December 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Statistical models in which both fixed and random effects enter nonlinearly are becoming increasingly popular. These models have a wide variety of applications in many areas such as agriculture, forestry, biology, ecology, biomedicine, sociology, economics,...

Nonlinear Least Squares Estimation for Parameters of Mixed Weibull Distributions by Using Particle Swarm Optimization
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Mixed Weibull distributions are widely used in lifetime modeling of products with multiple failure modes. It is difficult to estimate parameters of the mixed Weibull distribution since it contains multiple parameters. A parameter estimation model for the...

Mixed-Mode Pandemic Modeling
2019 Edition, December 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper describes a mixed mode approach to simulating a global pandemic. It describes the architectural and design decisions as well as the data sources, development tools and processes in each of the three simulation domains - System Dynamics (SD), Discrete Event...

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