Development of a two channel linear discriminant function for detecting and identifying surface water using ERTS-1 data [PDF]
A method for detecting surface water using ERTS-1 multispectral scanner digital data is described. The several computer programs for processing multispectral data are described, along with the manner in which these programs were used.
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Formulation of the problem. Recognition between irrigated and non-irrigated croplands is an important task of modern agricultural science in order to ensure efficient management of water resources in agriculture and control the usage of irrigation ...
Павло Лиховид +2 more
doaj +1 more source
Outnumbered: Control Prothrombin Time in Maddrey's Discriminant Function Impacts Steroid Use but Not Mortality in Alcoholic Hepatitis. [PDF]
Healey M, Sterling RK.
europepmc +1 more source
THE PRECISION OF DISCRIMINANT FUNCTIONS [PDF]
Not ...
openaire +2 more sources
Is There a Futility Discriminant Function Score for Alcoholic Hepatitis? [PDF]
Lamm K, McCarter M, Russo MW.
europepmc +1 more source
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements. [PDF]
Bidmos MA +4 more
europepmc +1 more source
The MELD Score Is Superior to the Maddrey Discriminant Function Score to Predict Short-Term Mortality in Alcohol-Associated Hepatitis: A Global Study. [PDF]
Morales-Arráez D +37 more
europepmc +1 more source
Discriminant Function Analysis of Sleep Quality and its Determinants among General Adult Population of Ahmedabad City, Gujarat. [PDF]
Tolani J, Shah VT, Shah ND, Desai PB.
europepmc +1 more source
Aim: To examine the cross-sectional and longitudinal convergent and discriminant validity and the sensitivity to change of the Hughston Clinic Knee Questionnaire (HCQ) in young adults with meniscal repair. Method: Seventeen young adults completed the HCQ
Yong Hao Pua PhD +1 more
doaj +1 more source
Classification efficiencies for robust linear discriminant analysis. [PDF]
Linear discriminant analysis is typically carried out using Fisher’s method. This method relies on the sample averages and covariance matrices computed from the different groups constituting the training sample.
Croux, Christophe +2 more
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