Results 31 to 40 of about 245,925 (164)
A goodness‐of‐fit test for regression models with discrete outcomes
Canadian Journal of Statistics, EarlyView.Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source
Non‐negative Gaussian estimation of variance components in random effects models
Canadian Journal of Statistics, EarlyView.Abstract When used to estimate variance components (VCs), confidence intervals (CIs) can be truncated at zero, have a point estimate not in the quoted CI, be empty with positive probability, or be all‐inclusive. This is because they have conflicting dual roles, since they are considered to cover the parameter with a specified probability while also ...
André Plante, Michael Plante
wiley +1 more source
A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source
Bulletin du Centre d’Études Médiévales d’Auxerre, 2016 Understanding the evolution of a forest area requires taking both time and space into account. This means providing a temporal dimension to a semi-natural object and considering that it can spatially move.
Francesco Beretta +3 more
doaj +1 more source
Equine Veterinary Journal, EarlyView.Abstract Background There is emerging evidence for the role of the immune system in osteoarthritis (OA) pathophysiology; however, little is known about how immune cells and the synovial transcriptome are altered in naturally occurring equine OA. Objectives To evaluate synovial fluid (SF) and synovial membrane (SM) immune cell populations and the SM ...
E. J. Secor +7 more
wiley +1 more source
Irrigation and Drainage, EarlyView.ABSTRACT This invited paper gives an overview of the challenges the world is facing and offers a possible solution for water and food security within the holistic integrated concept of the water–energy–food (WEF) nexus. The paper summarizes the experience the author gained through working on various research projects at national and international ...
Ragab Ragab
wiley +1 more source
, 2017 Ce travail presente une mise au point de modeles d'environnement bases sur une procedure iterative qui evolue suivant quatre etapes interdependantes: la recolte des donnees qui a fourni la base indispensable au choix des processus physiques a analyser; ces derniers ont ete decrits par un modele mathematique dont les equations differentielles traitees ...
openaire +3 more sources
Irrigation and Drainage, EarlyView.ABSTRACT Efficient irrigation scheduling is critical in sandy soils to achieve optimum yield and maximum net benefit with minimum environmental concerns. The Environmental Policy Integrated Climate (EPIC) model was used to study the impacts of autoirrigation of corn on crop yield and soil water balance during 2019–2021 at −300 and −450 kPa for loamy ...
Muhammad Tahir +3 more
wiley +1 more source
Irrigation and Drainage, EarlyView.ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra +2 more
wiley +1 more source
Irrigation and Drainage, EarlyView.ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin +4 more
wiley +1 more source