The considerable amount of energy consumption associated to the residential sector
justifies and supports energy consumption modeling efforts. Among the three approaches to …

In this paper, an extensive review for objects and drones (AUVs) detection and tracking is
presented. The article presents state of the art methods used in detection and tracking of …

Dose-response analysis can be carried out using multi-purpose commercial statistical
software, but except for a few special cases the analysis easily becomes cumbersome as …

A How-To Guide for Conducting Common Fisheries-Related Analyses in R Introductory
Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock …

Here I present the R package'plantecophys', a toolkit to analyse and model leaf gas
exchange data. Measurements of leaf photosynthesis and transpiration are routinely …

Nonlinear regression models are important tools because many crop and soil processes are
better represented by nonlinear than linear models. Fitting nonlinear models is not a single …

Forest Growth and Yield Modeling synthesizes current scientific literature and provides
insights in how models are constructed. Giving suggestions for future developments, and …

Plant growth is a fundamental ecological process, integrating across scales from physiology
to community dynamics and ecosystem properties. Recent improvements in plant growth …

Nonlinear regression models are applied in a broad variety of scientific fields. Various R
functions are already dedicated to fitting such models, among which the function nls () has a …

Modern astronomical research is beset with a vast range of statistical challenges, ranging
from reducing data from megadatasets to characterizing an amazing variety of variable …