The Resource Generalized linear mixed models : modern concepts, methods and applications, Walter W. Stroup
Generalized linear mixed models : modern concepts, methods and applications, Walter W. Stroup
Resource Information
The item Generalized linear mixed models : modern concepts, methods and applications, Walter W. Stroup represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Generalized linear mixed models : modern concepts, methods and applications, Walter W. Stroup represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- Summary
- "Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider. Along with describing common applications of GLMMs, the text introduces the essential theory and main methodology associated with linear models that accommodate random model effects and non-Gaussian data. Unlike traditional linear model textbooks that focus on normally distributed data, this one adopts a generalized mixed model approach throughout: data for linear modeling need not be normally distributed and effects may be fixed or random. With numerous examples using SAS® PROC GLIMMIX, this book is ideal for graduate students in statistics, statistics professionals seeking to update their knowledge, and researchers new to the generalized linear model thought process. It focuses on data-driven processes and provides context for extending traditional linear model thinking to generalized linear mixed modeling"--
- Language
- eng
- Label
- Generalized linear mixed models : modern concepts, methods and applications
- Title
- Generalized linear mixed models
- Title remainder
- modern concepts, methods and applications
- Statement of responsibility
- Walter W. Stroup
- Language
- eng
- Summary
- "Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider. Along with describing common applications of GLMMs, the text introduces the essential theory and main methodology associated with linear models that accommodate random model effects and non-Gaussian data. Unlike traditional linear model textbooks that focus on normally distributed data, this one adopts a generalized mixed model approach throughout: data for linear modeling need not be normally distributed and effects may be fixed or random. With numerous examples using SAS® PROC GLIMMIX, this book is ideal for graduate students in statistics, statistics professionals seeking to update their knowledge, and researchers new to the generalized linear model thought process. It focuses on data-driven processes and provides context for extending traditional linear model thinking to generalized linear mixed modeling"--
- Assigning source
- Provided by publisher
- Cataloging source
- DLC
- http://library.link/vocab/creatorName
- Stroup, Walter W.
- Dewey number
- 519.5/36
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA279
- LC item number
- .S78 2013
- Literary form
- non fiction
- Nature of contents
- bibliography
- Series statement
- Chapman & Hall/CRC texts in statistical science series
- http://library.link/vocab/subjectName
-
- Linear models (Statistics)
- MATHEMATICS / Probability & Statistics / General
- Label
- Generalized linear mixed models : modern concepts, methods and applications, Walter W. Stroup
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier.
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent.
- Control code
- 742512037
- Dimensions
- 27 cm
- Extent
- xxv, 529 pages
- Isbn
- 9781439815120
- Lccn
- 2012025214
- Media category
- unmediated
- Media MARC source
- rdamedia.
- Media type code
-
- n
- Other physical details
- illustrations
- Label
- Generalized linear mixed models : modern concepts, methods and applications, Walter W. Stroup
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier.
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent.
- Control code
- 742512037
- Dimensions
- 27 cm
- Extent
- xxv, 529 pages
- Isbn
- 9781439815120
- Lccn
- 2012025214
- Media category
- unmediated
- Media MARC source
- rdamedia.
- Media type code
-
- n
- Other physical details
- illustrations
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Generalized-linear-mixed-models--modern/q_2NKnPAGpQ/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Generalized-linear-mixed-models--modern/q_2NKnPAGpQ/">Generalized linear mixed models : modern concepts, methods and applications, Walter W. Stroup</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
