Introduction to Robust Estimation and Hypothesis Testing - Info and Reading Options
By Rand R. Wilcox
"Introduction to Robust Estimation and Hypothesis Testing" was published by Elsevier Science & Technology Books in 2011 - Amsterdam Boston, the book is classified in Mathematics genre, it has 713 pages and the language of the book is English.
“Introduction to Robust Estimation and Hypothesis Testing” Metadata:
- Title: ➤ Introduction to Robust Estimation and Hypothesis Testing
- Author: Rand R. Wilcox
- Language: English
- Number of Pages: 713
- Is Family Friendly: Yes - No Mature Content
- Publisher: ➤ Elsevier Science & Technology Books
- Publish Date: 2011
- Publish Location: Amsterdam Boston
- Genres: Mathematics
“Introduction to Robust Estimation and Hypothesis Testing” Subjects and Themes:
- Subjects: ➤ Statistical hypothesis testing - Estimation theory - Robust statistics - Estimation, Théorie de l' - Statistiques robustes - Tests d'hypothèses (Statistique)
Edition Specifications:
- Pagination: 608
Edition Identifiers:
- Google Books ID: 8f8nBb4__EYC
- The Open Library ID: OL35759801M - OL2926608W
- ISBN-13: 9780123870155
- ISBN-10: 0123870151
- All ISBNs: 9780123870155 - 0123870151
AI-generated Review of “Introduction to Robust Estimation and Hypothesis Testing”:
Snippets and Summary:
This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression.
"Introduction to Robust Estimation and Hypothesis Testing" Description:
Google Books:
This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations. Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among groups and true associations among variables. - Covers latest developments in robust regression - Covers latest improvements in ANOVA - Includes newest rank-based methods - Describes and illustrated easy to use software
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is available, image copy is available.
- Google Books Link: Google Books
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