Results 31 to 40 of about 4,044,594 (272)

Slab Temperature Evolution Over the Lifetime of a Subduction Zone

open access: yesGeochemistry, Geophysics, Geosystems, 2021
The thermal evolution of subducting slabs controls a range of subduction processes, yet we lack a robust understanding of how thermal structure develops over a subduction zone's lifetime. We investigate the time‐dependence of slab thermal structure using
A. F. Holt, C. B. Condit
doaj   +1 more source

Measuring influence in dynamic regression models [PDF]

open access: yes, 1990
This article presents a methodology to build measures of influence in regression models with time series data. We introduce statistics that measure the influence of each observation on the parameter estimates and on the forecasts.
Peña, Daniel
core   +4 more sources

Evolutionary Synthesis of High-Capacity Reconfigurable Multilayer Road Networks Using a Multiagent Hybrid Clustering-Assisted Genetic Algorithm

open access: yesIEEE Access
Modern requirements for urban traffic management and control call for the design of high-capacity reconfigurable multilayer road networks (RMRNs). This paper discusses the proposed evolutionary synthesis approach, a promising method for finding the best ...
Andranik S. Akopov, Levon A. Beklaryan
doaj   +1 more source

MBHGA: A Matrix-Based Hybrid Genetic Algorithm for Solving an Agent-Based Model of Controlled Trade Interactions

open access: yesIEEE Access
The article discusses the development and study of a new matrix-based hybrid genetic algorithm (MBHGA) for solving an agent-based model of firms’ behavior with controlled trade interactions.
Andranik S. Akopov
doaj   +1 more source

Dynamic Hierarchical Models

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1993
SUMMARY An analysis of a time series of cross-sectional data is considered under a Bayesian perspective. Information is modelled in terms of prior distributions and stratified parametric linear models developed by Lindley and Smith and dynamic linear models developed by Harrison and Stevens are merged into a general framework.
Gamerman, Dani, Migon, Hélio S.
openaire   +2 more sources

Current state and prospects of development of energy-optimal control systems for 2ES6 electric locomotives

open access: yesВестник Научно-исследовательского института железнодорожного транспорта
Introduction. The research focuses on the current state and prospects of development of the systems of energyoptimal train driven by freight main line DC electric locomotives 2ES6.
S. G. Istomin   +3 more
doaj   +1 more source

Resource communication: ApkFor©, an Android Open-Source Project for research and technology transfer in forest management

open access: yesForest Systems, 2018
Aim of the study: To introduce and describe ApkFor©, an Android Open-Source Project to generate basic mobile applications to transfer forest growth and yield models for even-aged stands.
Fernando Pérez-Rodríguez   +2 more
doaj   +1 more source

Comparisons of Dynamic Landslide Models on GIS Platforms

open access: yesApplied Sciences, 2022
Numerical simulation is one of the methods to assess landslide movement processes, which is beneficial for engineering design and urban planning. With the development of computer technology, GIS has gradually become the mainstream platform for landslide ...
Yuming Wu, Aohua Tian, Hengxing Lan
doaj   +1 more source

Outliers in dynamic factor models

open access: yes, 2007
Dynamic factor models have a wide range of applications in econometrics and applied economics. The basic motivation resides in their capability of reducing a large set of time series to only few indicators (factors). If the number of time series is large
Baragona, Roberto, Battaglia, Francesco
core   +1 more source

Dynamics Modeling for Key Performance Indicators in Higher Education Through Optimization Methods [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences
Dynamic models of higher education Key Performance Indicators (KPI) help in understanding how internal and external factors affect future KPI achievement.
M. Salmina   +4 more
doaj   +1 more source

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