Correcting the Bias of the Root Mean Squared Error of Approximation under Missing Data [PDF]
Missing data are ubiquitous in both small and large datasets. Missing data may come about as a result of coding or computer error, participant absences, or it may be intentional, as in planned missing designs. We discuss missing data as it relates to goodness-of-fit indices in Structural Equation Modeling (SEM), specifically the effects of missing data
Von Oertzen, Timo +6 more
openaire +4 more sources
The fall armyworm (Spodoptera frugiperda) poses a significant threat to global maize production owing to its rapid life cycle, extensive host range, and strong dispersal capabilities. We developed a forecasting system for fall armyworm outbreaks over one
Vani Sree Kalisetti +9 more
doaj +1 more source
Application of HYDRUS (2D/3D) for Predicting the Influence of Subsurface Drainage on Soil Water Dynamics in a Rainfed-Canola Cropping System [PDF]
The HYDRUS (2D/3D) model was applied to investigate the probable effects of different subsurface drainage systems on the soil water dynamics under a rainfed-canola cropping system in paddy fields.
Ajdari +39 more
core +2 more sources
Potential root mean square error skill score
Consistency, in a narrow sense, denotes the alignment between the forecast-optimization strategy and the verification directive. The current recommended deterministic solar forecast verification practice is to report the skill score based on root mean square error (RMSE), which would violate the notion of consistency if the forecasts are optimized ...
Martin János Mayer, Dazhi Yang
openaire +3 more sources
Nonparametric Kernel estimation of annual maximum stream flow quantiles. [PDF]
A nonparametric kernel methods is proposed and evaluated performance for estimating annual maximum stream flow quantiles. The bandwidth of the estimator is estimated by using an optimal technique and a cross-validation technique.
Shabri, Ani
core
A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction [PDF]
This study proposed the new hybrid model of Multiple Linear Regression Clustering (MLRC) combined with Support Vector Machine (SVM) to predict tumor size of colorectal cancer (CRC).
Ismail, Shuhaida +3 more
core +1 more source
Constraining Aerosol Vertical Profile in the Boundary Layer Using Hyperspectral Measurements of Oxygen Absorption [PDF]
This study attempts to infer aerosol vertical structure in the urban boundary layer using passive hyperspectral measurements. A spectral sorting technique is developed to retrieve total aerosol optical depth (AOD) and effective aerosol layer height (ALH)
Kort, Eric A. +8 more
core +3 more sources
Foveation-based content adaptive root mean squared error for video quality assessment
When the video is compressed and transmitted over heterogeneous networks, it is necessary to ensure the satisfying quality for the end user. Since human observers are the end users of video applications, it is very important that the human visual system (HVS) characteristics are taken into account during the video quality evaluation.
Mario Vranješ +2 more
openaire +3 more sources
Leaf area is an important indicator of photosynthetic capacity in plants. Knowledge of the variation of leaf shape at an individual level or a population level can help by accurately calculate leaf area.
Jiayan He +3 more
doaj +1 more source
Modeling Significant Wave Heights for Multiple Time Horizons Using Metaheuristic Regression Methods
The study examines the applicability of six metaheuristic regression techniques—M5 model tree (M5RT), multivariate adaptive regression spline (MARS), principal component regression (PCR), random forest (RF), partial least square regression (PLSR) and ...
Rana Muhammad Adnan Ikram +5 more
doaj +1 more source

