Analysis of Variance for Random Models, Volume 2: Unbalanced Data - Info and Reading Options
Theory, Methods, Applications, and Data Analysis
By Hardeo Sahai and Mario M. Ojeda
"Analysis of Variance for Random Models, Volume 2: Unbalanced Data" was published by Birkhäuser Boston in 2007 - Boston, the book is classified in Mathematics genre, it has 493 pages and the language of the book is English.
“Analysis of Variance for Random Models, Volume 2: Unbalanced Data” Metadata:
- Title: ➤ Analysis of Variance for Random Models, Volume 2: Unbalanced Data
- Authors: Hardeo SahaiMario M. Ojeda
- Language: English
- Number of Pages: 493
- Is Family Friendly: Yes - No Mature Content
- Publisher: Birkhäuser Boston
- Publish Date: 2007
- Publish Location: Boston
- Genres: Mathematics
“Analysis of Variance for Random Models, Volume 2: Unbalanced Data” Subjects and Themes:
- Subjects: ➤ Statistics - Distribution (Probability theory) - Mathematical statistics - Statistical Theory and Methods - Probability Theory and Stochastic Processes - Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences - Statistics for Life Sciences, Medicine, Health Sciences
Edition Specifications:
- Pagination: xxvi, 480
Edition Identifiers:
- Google Books ID: YmDAWxN56gUC
- The Open Library ID: OL37348786M - OL27421516W
- ISBN-13: 9780817644253
- ISBN-10: 0817644253
- All ISBNs: 9780817644253 - 0817644253
AI-generated Review of “Analysis of Variance for Random Models, Volume 2: Unbalanced Data”:
Snippets and Summary:
This two-volume work is a comprehensive presentation of different methods and techniques for point estimation, interval estimation, and tests of hypotheses for linear models involving random effects.
"Analysis of Variance for Random Models, Volume 2: Unbalanced Data" Description:
Google Books:
Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs with a detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level. It also includes numerical examples to analyze data from a wide variety of disciplines as well as any worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example.
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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