Results 111 to 120 of about 2,909,867 (244)
Probabilistic Identification of Parameters in Dynamic Fracture Propagation
International Journal for Numerical Methods in Engineering, Volume 127, Issue 4, 28 February 2026.ABSTRACT In this paper, we propose a novel multiphase approach for identifying input parameters in dynamic fracture propagation. Often, such parameters are partially known and uncertain with incomplete input data, resulting in challenges in predicting a reliable dynamic failure response.
Andjelka Stanić +3 more
wiley +1 more source
Kriging Methodology and Its Development in Forecasting Econometric Time Series [PDF]
Statistika: Statistics and Economy Journal, 2017 One of the approaches for forecasting future values of a time series or unknown spatial data is kriging. The main objective of the paper is to introduce a general scheme of kriging in forecasting econometric time series using a family of linear ...
Andrej Gajdoš +2 more
doaj
Journal of Integrative Agriculture, 2013 The spatial interpolation for soil texture does not necessarily satisfy the constant sum and nonnegativity constraints. Meanwhile, although numeric and categorical variables have been used as auxiliary variables to improve prediction accuracy of soil ...
Shi-wen ZHANG +5 more
doaj +1 more source
Meta-models for structural reliability and uncertainty quantification [PDF]
, 2011 A meta-model (or a surrogate model) is the modern name for what was traditionally called a response surface. It is intended to mimic the behaviour of a computational model M (e.g.
Sudret, Bruno
core +4 more sources
, 2011 Discussion of "A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?" by B.B. McShane and A.J.
Kaplan, Alexey
core +1 more source
Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.Abstract Many global and regional climate models predict shifts in the frequency and magnitude of precipitation events. It is unclear how this transition will influence delta and wetland development. We address this knowledge gap via two reduced‐scale physical delta experiments: one with constant discharge and the other with variable discharge.
Jose R. Silvestre +5 more
wiley +1 more source
Prediction by Regression and kriging for Spatial Data with Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 This study deals with the prediction of the non-stationary spatial stochastic process. The prediction is done by two techniques which are regression technique (generalized least square estimation) and universal kriging technique.
doaj +1 more source
Ecology and Evolution, Volume 16, Issue 2, February 2026.We used eDNA metabarcoding of faecal samples to quantify the dietary composition of two vervet monkey populations in a semi‐urban environment in South Africa over a 4‐month period, and compared these results with visual observations. We found that both methods yielded similar results, but eDNA metabarcoding revealed a greater diversity of consumed taxa.
Joey Felsch +6 more
wiley +1 more source
PLoS ONE, 2013 The spatial variability of soil organic carbon (SOC) and total nitrogen (STN) levels is important in both global carbon-nitrogen cycle and climate change research. There has been little research on the spatial distribution of SOC and STN at the watershed
Gao Peng +3 more
doaj +1 more source
Ecosphere, Volume 17, Issue 2, February 2026.Abstract Climate change, expanding human ignitions, and increased fuels from fire exclusion are driving increases in area burned and fire severity in dry conifer forests of the western United States. Increasing area burned is occurring against the backdrop of a large fire deficit caused by over a century of fire exclusion.
C. A. Farris +7 more
wiley +1 more source