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Modeling the solution of some management problems using latent variables
Author(s) -
R. V. Kuzmenko,
L. V. Stepanov,
С. И. Моисеев,
T P Sysoeva,
Anatoly Nikolaevich Lukin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1902/1/012076
Subject(s) - latent variable , rasch model , computer science , computation , latent variable model , partial least squares regression , latent class model , work (physics) , econometrics , statistics , mathematics , algorithm , machine learning , engineering , mechanical engineering
Original approaches to the solution of some common management problems with the use of latent variables are proposed in the work. Calculations of the values of the latent variables in the Rasch model is based on the least squares technique thus allowing to perform computations with the use of standard application packages.

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