Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics) - Info and Reading Options
By Charles E. McCulloch, Shayle R. Searle and John M. Neuhaus
"Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)" is published by Wiley-Interscience in July 25, 2008, it has 416 pages and the language of the book is English.
“Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)” Metadata:
- Title: ➤ Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)
- Authors: Charles E. McCullochShayle R. SearleJohn M. Neuhaus
- Language: English
- Number of Pages: 416
- Publisher: Wiley-Interscience
- Publish Date: July 25, 2008
“Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)” Subjects and Themes:
- Subjects: ➤ Linear models (Statistics) - Mathematics - Sociology - Science/Mathematics - Statistics - Social Science / Statistics - Probability & Statistics - General - Regression analysis - Linear models (statistics)
Edition Specifications:
- Format: Hardcover
Edition Identifiers:
- The Open Library ID: OL10278930M - OL5967634W
- Online Computer Library Center (OCLC) ID: 191024148
- Library of Congress Control Number (LCCN): 2008002724
- ISBN-13: 9780470073711
- ISBN-10: 0470073713
- All ISBNs: 0470073713 - 9780470073711
AI-generated Review of “Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)”:
Snippets and Summary:
We begin by describing fixed and random effects models for the one-way classification for both normally and Bernoulli (binary) distributed data.
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