Results 51 to 60 of about 2,044,246 (250)
Biological Reviews, EarlyView.ABSTRACT The environmental conditions organisms experience during early development can have powerful and sustained effects on morphology, physiology, behaviour, and performance. Such developmental effects can influence reproductive success, survival, and life‐history strategies and can be transmitted across generations (i.e.
Ondi L. Crino +7 more
wiley +1 more source
npj Computational MaterialsSurrogate modeling techniques have become indispensable in accelerating the discovery and optimization of high-entropy alloys (HEAs), especially when integrating computational predictions with sparse experimental observations.
Sk Md Ahnaf Akif Alvi +8 more
doaj +1 more source
A geometric characterization of c-optimal designs for heteroscedastic regression [PDF]
We consider the common nonlinear regression model where the variance as well as the mean is a parametric function of the explanatory variables. The c-optimal design problem is investigated in the case when the parameters of both the mean and the variance
Dette, Holger, Holland-Letz, Tim
core
Default Effect in ESG Investment: When a Recommendation Goes a Long Way
Business Strategy and the Environment, EarlyView.ABSTRACT Individual investors display a positive attitude toward ESG investments but typically fail to act upon it. We report results from a preregistered online experiment testing a default option on 1050 US investors examining the mechanisms driving the effectiveness of default options in promoting ESG investments.
Sai Sravanthi Ramadugula +2 more
wiley +1 more source
Spatial Multi-Sensor Fusion with Heterogeneous Error Characteristics
Applied SciencesFusing spatial observations from sensors with heterogeneous error characteristics is a persistent challenge in geostatistics. Classical kriging assumes a Gaussian likelihood for all observations, an assumption that fails when sensors exhibit one-sided or
Ben Ingram +4 more
doaj +1 more source
EXAMINATION OF ALTERNATIVE HETEROSCEDASTIC ERROR STRUCTURES USING EXPERIMENTAL DATA [PDF]
Impacts of alternative specifications for heteroscedastic error structures are examined by estimating various production functions for corn in Central Texas. Production- and profit- maximizing levels of input and the shape of the profit equation obtained
Capps, Oral, Jr. +2 more
core
Estimation in Conditionally Heteroscedastic Time Series Models
, 2006 In his seminal 1982 paper, Robert F. Engle described a time series model with a time-varying volatility. Engle showed that this model, which he called ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and
Straumann, Daniel
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez +3 more
wiley +1 more source
, 2017 Исследована проблема построения точных D-оптимальных планов экспериментов для линейной множественной регрессии в случае, когда дисперсия ошибок наблюдений зависит от точки наблюдения.
Кирлица, В. П.
core +1 more source
HTAGN-Enhanced Factor Graph Optimization for Shipborne GNSS/INS/Gyrocompass Integrated Navigation
Journal of Marine Science and EngineeringShipborne Global Navigation Satellite System/Inertial Navigation System (GNSS/INS) integrated navigation based on Factor Graph Optimization (FGO) is increasingly used for maritime positioning, but its performance can be limited in low-dynamic sailing ...
Yi Jiang +3 more
doaj +1 more source