Title
Linear Mixed Models: A Practical Guide Using Statistical Software,Used
Delivery time: 8-12 business days (International)
Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clustered and longitudinal data. This easytonavigate reference details the use of procedures for fitting LMMs in five popular statistical software packages: SAS, SPSS, Stata, R/Splus, and HLM.The authors introduce basic theoretical concepts, present a heuristic approach to fitting LMMs based on both general and hierarchical model specifications, develop the modelbuilding process stepbystep, and demonstrate the estimation, testing, and interpretation of fixedeffect parameters and covariance parameters associated with random effects. These concepts are illustrated through examples using realworld data sets that enable comparisons of model fitting options and results across the software procedures. The book also gives an overview of important options and features available in each procedure.Making popular software procedures for fitting LMMs easytouse, this valuable resource shows how to perform LMM analyses and provides a clear explanation of mixed modeling techniques and theories.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Linear Mixed Models: A Practical Guide Using Statistical Software'? A: The book focuses on simplifying the understanding of linear mixed models (LMMs) and provides a comprehensive guide on fitting these models using various statistical software packages.
- Q: Who is the author of this book? A: The author of the book is Brady T. West.
- Q: What software packages are covered in this book for fitting linear mixed models? A: The book covers five popular statistical software packages: SAS, SPSS, Stata, R/S-plus, and HLM.
- Q: Is this book suitable for beginners in statistical analysis? A: Yes, the book is designed to provide a basic introduction to LMM concepts and is accessible for beginners.
- Q: How many pages does the book contain? A: The book contains 374 pages.
- Q: What type of binding does this book have? A: The book is available in hardcover binding.
- Q: When was 'Linear Mixed Models: A Practical Guide Using Statistical Software' published? A: The book was published on November 22, 2006.
- Q: Does the book include real-world examples? A: Yes, the book includes examples using real-world data sets to illustrate the application of linear mixed models.
- Q: What edition of the book is available? A: The book is available in its first edition.
- Q: In what category is this book classified? A: The book is classified under the category of Mathematical & Statistical.