Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659909076 ISBN 13: 9783659909078
Librería: Revaluation Books, Exeter, Reino Unido
EUR 70,45
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659909076 ISBN 13: 9783659909078
Librería: moluna, Greven, Alemania
EUR 31,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Das SukantaI am Sukanta Das I am currently working as a Statistical Officer at Bangladesh Inland Water Transport Authority (BIWTA). I received my Graduation (B.Sc.) and Post-Graduation (M.Sc.) degree in Applied Statistics form the I.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659909076 ISBN 13: 9783659909078
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 37,20
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nonlinear mixed effects models involve both fixed effects and random effects in which some of the fixed and random effects parameters enter nonlinearly to the model function. These models are become very popular for analyzing clustered data or unbalanced repeated measures data that occur in various fields of scientific investigation, such as pharmacokinetics, agriculture, biochemistry, environment, economics, etc. Because of the extensive use of nonlinear mixed effects models, there are several different methods for estimating the parameters of these models. Most of the proposed methods are based on the approximation technique because of the intractable multidimensional integrations arise in the likelihood function of the nonlinear mixed effects models. In this study, instead of approximation based methods we use quasi-Monte Carlo integration method using different types of quasi-random sequences, which directly solves the intractable multidimensional integrations.