Results 71 to 80 of about 339,803 (189)

Development of a two channel linear discriminant function for detecting and identifying surface water using ERTS-1 data [PDF]

open access: yes
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.

core   +1 more source

Using Remote Sensing Normalised Difference Vegetation Index to Rec-ognise Irrigated Croplands via Agroland Classifier Application

open access: yesВісник Харківського національного університету імені В.Н. Каразіна. Серія Геологія. Географія. Екологія
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

THE PRECISION OF DISCRIMINANT FUNCTIONS [PDF]

open access: yesAnnals of Eugenics, 1940
Not ...
openaire   +2 more sources

The MELD Score Is Superior to the Maddrey Discriminant Function Score to Predict Short-Term Mortality in Alcohol-Associated Hepatitis: A Global Study. [PDF]

open access: yesAm J Gastroenterol, 2022
Morales-Arráez D   +37 more
europepmc   +1 more source

Cross-Sectional and Longitudinal Validity of the Hughston Clinic Knee Questionnaire in Arthroscopic Meniscal Repair

open access: yesProceedings of Singapore Healthcare, 2010
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]

open access: yes
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
core  

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