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Op deze pagina kunt u een gedetailleerde analyse krijgen van een woord of zin, geproduceerd met behulp van de beste kunstmatige intelligentietechnologie tot nu toe:
- hoe het woord wordt gebruikt
- gebruiksfrequentie
- het wordt vaker gebruikt in mondelinge of schriftelijke toespraken
- opties voor woordvertaling
- Gebruiksvoorbeelden (meerdere zinnen met vertaling)
- etymologie
Wat (wie) is nonparametric procedure - definitie
CATEGORY OF REGRESSION ANALYSIS
Nonparametric multiplicative regression; Non-parametric regression; Nonparametric Regression
Credé's prophylaxis
MEDICAL PROCEDURE PERFORMED ON NEWBORNS
Crede procedure; Credé procedure
Credé procedure is the practice of washing a newborn's eyes with a 2% silver nitrate solution to protect against neonatal conjunctivitis caused by Neisseria gonorrhoeae.
Radiotelephony procedure
METHODS TO MAKE VOICE COMMUNICATIONS UNDERSTOOD OVER A POTENTIALLY DEGRADED CHANNEL
Radio language; Communications discipline; Voice procedure; Radiotelephony voice procedure
Radiotelephony procedure (also on-air protocol and voice procedure) includes various techniques used to clarify, simplify and standardize spoken communications over two-way radios, in use by the armed forces, in civil aviation, police and fire dispatching systems, citizens' band radio (CB), and amateur radio.
Nonparametric regression
Nonparametric regression is a category of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. That is, no parametric form is assumed for the relationship between predictors and dependent variable.
Wikipedia
Nonparametric regression
Nonparametric regression is a category of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. That is, no parametric form is assumed for the relationship between predictors and dependent variable. Nonparametric regression requires larger sample sizes than regression based on parametric models because the data must supply the model structure as well as the model estimates.
