A recursive algorithm on estimating the parameters in multilevel models subject to the measurement errors on the covariates

Multilevel models are popular models for analysing data inheriting a hierarchical structure. They are used in diverse fields including social, medical, economical and biological sciences. These models encounter some problems in estimating the parameters, if there are measurement errors in either exp...

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Bibliographic Details
Published in:	Journal of statistical computation and simulation Vol. 86; no. 2; pp. 252 - 261
Main Authors:	Golalizadeh, Mousa, Mahmoudnejad, Hashem
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 22.01.2016 Taylor & Francis Ltd
Subjects:	Algorithms Computer simulation Consumer spending cost and expenditure Data analysis Error analysis Errors Estimating iterative algorithm Mathematical models measurement error Measurement errors Multilevel multilevel models Obstacles Parameter estimation Simulation simulation extrapolation Statistical methods Teheran Iran
ISSN:	0094-9655, 1563-5163
Online Access:	Get full text
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