Results 101 to 110 of about 15,053,099 (290)

Bayesian Analysis of Measurement Error Models Using Integrated Nested Laplace Approximations

Journal of the Royal Statistical Society Series C: Applied Statistics, 2014
SummaryTo account for measurement error (ME) in explanatory variables, Bayesian approaches provide a flexible framework, as expert knowledge can be incorporated in the prior distributions. Recently, integrated nested Laplace approximations have been proven to be a computationally convenient alternative to sampling approaches for Bayesian inference in ...
Muff, Stefanie, Riebler, Andrea, Held, Leonhard, Rue, Havard, Saner, Philippe   +4 more
openaire   +2 more sources

Consensus Formation and Change are Enhanced by Neutrality

Advanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag, Janina A. Hoffmann, Tim Rogers, Christian A. Yates   +3 more
wiley   +1 more source

A ten-year (2012–2021) fine-resolution (1 km, hourly) precipitation dataset over southeastern Tibetan Plateau

Scientific Data
Intense sub-daily precipitation on the Tibetan Plateau (TP) can trigger a cascade of natural hazards (flash floods, debris flows, etc.), causing significant environmental impacts. Current precipitation products for the TP often lack sufficient spatial or
Dayang Li, Ye Shen, Xianyi Ye, Xiaohua Fu, Yang Yang, Tinghai Ou, Deliang Chen, Fuqiang Tian, Long Yang   +8 more
doaj   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

Multivariate Spatio-Temporal Modeling for Regional GIS Data: A Statistical Framework for Analyzing Multidimensional Spatial Interactions [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Open geospatial datasets increasingly contain multiple regional indicators that evolve jointly across space and time, but applied workflows often fit separate regressions for each indicator and communicate results through static choropleth maps.
S. Ohta, S. Tanaka, R. Nishii
doaj   +1 more source

Best prediction under a nested error model with log transformation

, 2014
In regression models involving economic variables such as income, log transformation is typically taken to achieve approximate normality and stabilize the variance. However, often the interest is predicting individual values or means of the variable in the original scale.
Martin, Nirian, Molina, Isabel
openaire   +2 more sources

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

A Nested DUAL-axis Accelerometer with Enhanced Temperature Robustness for Testing Across the Entire Operational Temperature Range

Measurement Science Review
This paper investigates a nested biaxial micro-electro-mechanical systems (MEMS) accelerometer with low coupling error, derives the kinetic model equations of the accelerometer, and performs finite element simulations of the operating modes and ...
Ren Yanchao, Duan Guodong, Jiao Jingjing, Hu Xiaoping   +3 more
doaj   +2 more sources

Non-parametric specification testing of non-nested econometric models [PDF]

, 1994
We consider the non-nested testing prqblem of non-parametric regressions. We show that, when the regression functions are unknown under both the null and the alternative hypotheses, an extension of the J-test procedure of Davidson and Mackinnon (1981 ...
Delgado, Miguel A., Li, Qi, Stengos, Thanasis   +2 more
core   +1 more source

Estimation of mean squared error of model-based estimators of small area means under a nested error linear regression model

Journal of Multivariate Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mahmoud Torabi, J. N. K. Rao
openaire   +1 more source