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Generalized linear mixed models: modern concepts, methods...

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Science (General)
Generalized linear mixed models: modern...

Generalized linear mixed models: modern concepts, methods and applications

Stroup, Walter W

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როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

კატეგორია:

Science (General)

წელი:

2012

გამოცემა:

1st

გამომცემლობა:

CRC Press

ენა:

english

გვერდები:

555

ISBN 10:

1439815135

ISBN 13:

9781439815137

სერია:

Chapman & Hall/CRC Texts in Statistical Science

ფაილი:

PDF, 3.36 MB

IPFS:

,

english, 2012

ონლაინ წაკითხვა

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

Charles E. McCulloch, Shayle R. Searle — Generalized, Linear, and Mixed Models, Vol. 1

Stroup, Walter W — Generalized Linear Mixed Models : Modern Concepts, Methods and Applications

Mari Palta — Quantitative Methods in Population Health: Extensions of Ordinary Regression (Wiley Series in Probability and Statistics)

Arnold M. Sexton — Genetic Analysis of Complex Traits Using SAS

Julian J.Faraway — Extending the Linear Model with R

Julian J.Faraway — Extending the Linear Model with R

Finch, W. Holmes, Bolin, Jocelyn E., Kelley, Ken — Multilevel Modeling Using R

Finch, W. Holmes, Bolin, Jocelyn E., Kelley, Ken — Multilevel Modeling Using R

Eugene Demidenko — Mixed Models

Finch, W. Holmes, Bolin, Jocelyn E., Kelley, Ken — Multilevel Modeling Using R

Julian J.Faraway — Extending the Linear Model with R

Lauri Mehtatalo (Author); Juha Lappi (Author) — Biometry for Forestry and Environmental Data-With Examples in R

Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Timothy J. Robinson — Generalized Linear Models: with Applications in Engineering and the Sciences (Wiley Series in Probability and Statistics)

Eugene Demidenko — Mixed Models: Theory and Applications

Raudenbush, Stephen W.; Bryk, Anthony S. — Hierarchical Linear Models: Applications and Data Analysis Methods

Marc A. Scott, Jeffrey S. Simonoff, Brian D. Marx — The SAGE Handbook of Multilevel Modeling

Eugene Demidenko — Mixed models : theory and applications with R

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley — Multilevel Modeling Using R (Second Edition)

Youngjo Lee, Lars Ronnegard, Maengseok Noh — Data analysis using hierarchical generalized linear models with R

Mohamed M. Shoukri — Analysis of Correlated Data with SAS and R, Third Edition

Paul Roback, Julie Legler — Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R

Madsen, Henrik; Thyregod, Poul — Introduction to General and Generalized Linear Models

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley — Multilevel Modeling Using R

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley — Multilevel Modeling Using R

Julian James Faraway — Extending The Linear Model With R (Second Edition)

Julian James Faraway — Extending The Linear Model With R (Second Edition)

TANGO, TOSHIRO — Repeated measures design with generalized linear mixed models for randomized controlled trials

Oliver Schabenberger Francis J. Pierce — Contemporary Statistical Models for the Plant and Soil Sciences

Julian James Faraway — Extending The Linear Model With R

Ramon C. Littell, Ph.D., George A. Milliken, Ph.D, Walter W. Stroup, Russell D. Wolfinger, Oliver Schabenberber — SAS for Mixed Models

Arnold M. Saxton (editor) — Genetic Analysis of Complex Traits using SAS

SAS Publishing — SAS STAT 9.2 User's Guide: The GLIMMIX Procedure (Book Excerpt)

Edward F. Vonesh — Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS

Walter W. Stroup; George A. Milliken; Elizabeth A. Claassen Claassen — SAS for Mixed Models: Introduction and Basic Applications

Ronald H Heck, Scott Thomas, Lynn Tabata — Multilevel Modeling of Categorical Outcomes Using IBM SPSS

Ronald H. Heck, Scott L. Thomas, Lynn N. Tabata — Multilevel Modeling of Categorical Outcomes using IBM SPSS

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