Results 231 to 240 of about 1,212,906 (326)
A novel artificial bee colony approach of live virtual machine migration policy using Bayes theorem. [PDF]
Xu G, Ding Y, Zhao J, Hu L, Fu X.
europepmc +1 more source
Abstract A demonstrated failure mode for operational solar flare forecasting is the inability to forecast flares that occur near, or just beyond, the solar limb. To address this shortcoming, we develop a “4π $4{\uppi }$” full‐heliosphere event forecasting framework and evaluate its statistical classification ability against this specific challenge.
K. D. Leka +5 more
wiley +1 more source
Abstract Affordable autonomous soil sensors and IoT technology enable real‐time soil moisture monitoring, which offers opportunities for real‐time model calibration and irrigation optimization. We introduce an irrigation decision support system SWIM2 (Sensor Wielded Inverse Modeling of a Soil Water Irrigation Model), a digital twin that integrates ...
Marit G. A. Hendrickx +7 more
wiley +1 more source
Animal geolocation with convolution algorithms in Julia and R via Wahoo.jl
Abstract Animal geolocation is the core of movement ecology. In aquatic ecosystems, electronic tagging and tracking technologies, such as passive acoustic telemetry systems and biologging sensors, are widely deployed. However, statistical estimation of individual locations from these datasets can be challenging and computationally expensive.
Edward Lavender +2 more
wiley +1 more source
Abstract Passive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual movements separately from space use, home ranges and residency.
Edward Lavender +3 more
wiley +1 more source
Reduced rank regression for mixed predictor and response variables
Abstract In this paper, we propose the generalized mixed reduced rank regression method, GMR3 for short. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, ordinal and numeric variables. For dealing with the categorical predictors we use optimal scaling.
Mark de Rooij +2 more
wiley +1 more source
Beyond the p Value Dichotomy: Alternatives for Statistical Inference—A Critical Review
ABSTRACT Rationale The p value has long been used as the primary criterion for statistical significance; however, its dichotomous interpretation has been increasingly criticized for oversimplifying uncertainty and distorting scientific inference, particularly in health and sports sciences.
Matheus Hissa Lourenço Ferreira +2 more
wiley +1 more source
Bayes' theorem and the physical examination: probability assessment and diagnostic decision making. [PDF]
Herrle SR +4 more
europepmc +1 more source

