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

Das, Sukanta; Hoq, Rashedul

 
9783659909078: Estimation of Nonlinear Mixed Effects Model: Using Quasi-Random Sequences
Tapa blanda
ISBN 10: 3659909076 ISBN 13: 9783659909078
Editorial: LAP LAMBERT Academic Publishing, 2016

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

I 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 Institute of Statistical Research and Training, University of Dhaka, Bangladesh in the year of 2013 and 2014 respectively.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2016
Idioma
Inglés
ISBN 10 
3659909076
ISBN 13 
9783659909078
Encuadernación
Tapa blanda
Número de páginas
72
Contacto del fabricante
no disponible
Persona responsable
no disponible