Mixed effects models for the population approach : models, tasks, methods and tools / Marc Lavielle; with contributions by Kevin Bleakley.
Material type:
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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EWU Library E-book | Non-fiction | 519 LAM 2015 (Browse shelf(Opens below)) | Not for loan | ||||
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EWU Library Reserve Section | Non-fiction | 519 LAM 2015 (Browse shelf(Opens below)) | C-1 | Not For Loan | 27412 | ||
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EWU Library Circulation Section | Non-fiction | 519 LAM 2015 (Browse shelf(Opens below)) | C-2 | Available | 28183 |
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No cover image available | No cover image available | No cover image available | ||
519.57 MOD 2013 Design and analysis of experiments / | 519.64 KOC 2002 Combinatorial optimization : | 519 LAB 2013 Bayesian disease mapping : | 519 LAM 2015 Mixed effects models for the population approach : | 519 ROB 2012 Business statistics / | 519 ROB 2012 Business statistics / | 519 ROB 2012 Business statistics / |
Includes bibliographical references and index.
"This book presents wide-ranging coverage of parametric modeling in linear and nonlinear mixed-effects models. Using these models, readers can perform parameter estimation across a whole population of individuals at the same time. The book takes readers through the whole modeling process, from defining/creating a parametric model to performing tasks on the model using various mathematical methods. It also includes numerous case studies and illustrates the use of the MONOLIX software"--Provided by publisher.
AS
Saifun Momota
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