ISBN: 9781118091579 - mixed models: theory and applications with r: 893 (22 risultati)

hardcover. Condizione: Good. May contain some writing/highlighting. Cover shows wear from normal use. Supplemental materials such as CDs or access codes are not included unless otherwise noted.

Condizione: Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: new.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

hardcover. Condizione: Sehr gut. 768 Seiten; 9781118091579.2 Gewicht in Gramm: 3.

Condizione: As New. Unread book in perfect condition.

Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1550grams, ISBN:9781118091579. …

Condizione: New. In English.

Condizione: New. pp. 758.

Condizione: New. Praise for the First Edition This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one s personal library. Series: Wiley Series in Probability and Statistics. Num Pages: 754 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 192 x 263 x 39. Weight in Grams: 1462. . 2013. 2nd Edition. Hardcover. . . . .…

Condizione: New. pp. 758 Index 2nd Edition.

Condizione: New. Praise for the First Edition This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one s personal library. Series: Wiley Series in Probability and Statistics. Num Pages: 754 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 192 x 263 x 39. Weight in Grams: 1462. . 2013. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Gebunden. Condizione: New. EUGENE DEMIDENKO, PhD, is Professor of Biostatistics and Epidemiology at the Geisel School of Medicine and Department of Mathematics at Dartmouth College. Dr. Demidenko carries out collaborative work at the Thayer School of Engineering, Dartmouth College, i.

Hardcover. Condizione: Brand New. 2nd edition. 768 pages. 10.25x7.25x1.50 inches. In Stock.

Buch. Condizione: Neu. Neuware - Praise for the First Edition'This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one's personal library.'--Journal of the American Statistical AssociationMixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R.The new edition provides in-depth mathematical coverage of mixed models' statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing.Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as:\* Comprehensive theoretical discussions illustrated by examples and figures\* Over 300 exercises, end-of-section problems, updated data sets, and R subroutines\* Problems and extended projects requiring simulations in R intended to reinforce material\* Summaries of major results and general points of discussion at the end of each chapter\* Open problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertationsIdeal for graduate-level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering.…

Condizione: gut. 2013. Mixed Models: Theory and Applications with R (Wiley Series in Probability and Statistics) In englischer Sprache. pages.

Hardcover. Condizione: Brand New. 2nd edition. 768 pages. 10.25x7.25x1.50 inches. In Stock. This item is printed on demand.

Hardcover. Condizione: new. Hardcover. Praise for the First Edition This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in ones personal library. Journal of the American Statistical Association Mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R. The new edition provides in-depth mathematical coverage of mixed models statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing. Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as: Comprehensive theoretical discussions illustrated by examples and figuresOver 300 exercises, end-of-section problems, updated data sets, and R subroutinesProblems and extended projects requiring simulations in R intended to reinforce materialSummaries of major results and general points of discussion at the end of each chapterOpen problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertations Ideal for graduate-level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering. Praise for the First Edition This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one s personal library. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. PRINT ON DEMAND pp. 758.