Mixed effects models for the population approach : models, tasks, methods and tools / Marc Lavielle; with contributions by Kevin Bleakley.

By:

Lavielle, Marc

Material type: Text

TextSeries: Description: xviii, 365 pagesISBN:

9781482226508 (hardcover : alk. paper)

Subject(s):

DDC classification:

001.422 LAV.M

Other classification:

Summary: "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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Mathematics Processing Center	Dept. of Mathematics	001.422 LAV.M (Browse shelf(Opens below))	Available		MAT7279

Browsing Dept. of Mathematics shelves, Shelving location: Processing Center Close shelf browser (Hides shelf browser)

Previous	No cover image available No cover image available	No cover image available No cover image available				No cover image available No cover image available	No cover image available No cover image available	Next
Previous	001.4 WAL-R Research methodology and statistical approach	001.42 KOT.R Research methodology Methods and techniqes	001.42 MYK.E Essentials in Research Methodology	001.422 LAV.M Mixed effects models for the population approach : models, tasks, methods and tools /	001.434 BAR.G Graphical methods for the design of experiments /	001.5 WIG.I IT performance management	001.53 SAP-C Cybernetics within us	Next

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.

There are no comments on this title.

to post a comment.