z-logo
open-access-imgOpen Access
REDUCING SAMPLE SIZE REQUIREMENTS WHEN TESTING THE NORMALITY HYPOTHESIS BIOMETRIC DATA THROUGH A NEURAL NETWORK ASSOCIATION OF SEVEN STATISTICAL CRITERIA
Author(s) -
Alexander Ivanov,
E.N. Kupriyanov,
K. N. Savinov,
А. Г. Банных,
A.V. Bezyaev,
Stc “Atlas” Penza branch
Publication year - 2019
Publication title -
nadežnostʹ i kačestvo složnyh sistem
Language(s) - English
Resource type - Journals
ISSN - 2307-4205
DOI - 10.21685/2307-4205-2019-4-7
Subject(s) - biometrics , normality , artificial neural network , sample size determination , statistical hypothesis testing , sample (material) , association (psychology) , statistics , computer science , psychology , artificial intelligence , pattern recognition (psychology) , data mining , econometrics , mathematics , chemistry , chromatography , psychotherapist

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here