Estimation of Nonlinear Mixed Effects Model : Using Quasi-Random Sequences

Language: English

Published by LAP LAMBERT Academic Publishing, 2016

3659909076 / 9783659909078

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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.…

Seller Inventory # 9783659909078

Title
Estimation of Nonlinear Mixed Effects Model : Using Quasi-Random Sequences
Author
Rashedul Hoq
Publisher
LAP LAMBERT Academic Publishing
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659909076
ISBN 13
9783659909078
Item weight
125 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

Einbeck, Germany

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