Results 31 to 40 of about 1,735,832 (325)

Modeling of Accounting and Non Accounting Items Affecting Shareholders, Wealth: Prediction and Validation [PDF]

open access: yesپژوهش‌های تجربی حسابداری, 2018
The Stock market is one of the markets from which investors try to earn interests. Stock returns are the most important measures for decision making of investors in this market.
azam valizadeh Larijani   +1 more
doaj   +1 more source

Modeling of acetosolv pulping of oil palm fronds using response surface methodology and wavelet neural networks [PDF]

open access: yes, 2019
Mathematical models based on response surface methodology (RSM) and wavelet neural networks (WNNs) in conjunction with a central composite design were developed in order to study the influence of pulping variables viz. acetic acid, temperature, time, and
Ibrahim, Mazlan   +4 more
core   +1 more source

Identifying early-measured variables associated with APACHE IVa providing incorrect in-hospital mortality predictions for critical care patients

open access: yesScientific Reports, 2021
APACHE IVa provides typically useful and accurate predictions on in-hospital mortality and length of stay for patients in critical care. However, there are factors which may preclude APACHE IVa from reaching its ceiling of predictive accuracy.
Shuo Feng, Joel A. Dubin
doaj   +1 more source

Statistical post-processing of hydrological forecasts using Bayesian model averaging [PDF]

open access: yes, 2018
Accurate and reliable probabilistic forecasts of hydrological quantities like runoff or water level are beneficial to various areas of society. Probabilistic state-of-the-art hydrological ensemble prediction models are usually driven with meteorological ...
Ayari, Mehrez El   +2 more
core   +2 more sources

Mitigating the Impact of Field and Image Registration Errors through Spatial Aggregation

open access: yesRemote Sensing, 2019
Remotely sensed data are commonly used as predictor variables in spatially explicit models depicting landscape characteristics of interest (response) across broad extents, at relatively fine resolution.
John Hogland, David L.R. Affleck
doaj   +1 more source

Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and Soybean Yields

open access: yesRemote Sensing, 2020
Crop yield prediction prior to harvest is important for crop income and insurance projections, and for evaluating food security. Yet, modeling crop yield is challenging because of the complexity of the relationships between crop growth and predictor ...
Angela Kross   +6 more
doaj   +1 more source

INTERCOMPARISON OF PROCESS-BASED PHYSICAL AND MATHEMATICAL HYDROLOGICAL MODELS IN DATA-SCARCE SEMI-ARID REGION OF ERITREA

open access: yesВодное хозяйство России: проблемы, технологии, управление, 2021
Watershed models simulate natural hydrological and biogeochemical processes within watersheds as well as quantify the impact of human activities on these processes.
Dmitry V. Kozlov   +1 more
doaj   +1 more source

Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils

open access: yesGeosystems and Geoenvironment, 2023
Soft computing techniques, such as artificial neural network (ANN) and multiple linear regression (MLR), have been found useful in the predictive modeling of environmental hazard indicators, even in areas with data scarcity.
Johnbosco C. Egbueri   +3 more
doaj   +1 more source

Least‐correlation estimates for errors‐in‐variables models [PDF]

open access: yesInternational Journal of Adaptive Control and Signal Processing, 2005
AbstractThis paper introduces an estimator for errors‐in‐variables models in which all measurements are corrupted by noise. The necessary and sufficient condition minimizing a criterion, defined by squaring the empirical correlation of residuals, yields a new identification procedure that we call least‐correlation estimator.
Jun, Byung-Eul, Bernstein, Dennis S.
openaire   +2 more sources

Minimum distance estimation of dynamic models with errors-in-variables [PDF]

open access: yes, 2014
Empirical analysis often involves using inexact measures of desired predictors. The bias created by the correlation between the problematic regressors and the error term motivates the need for instrumental variables estimation.
Gospodinov, Nikolay   +2 more
core   +1 more source

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