Introduction to Robust Estimation and Hypothesis Testing ( 3rd Edition) – eBook

Description

Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition, (PDF) presents a comprehensive exploration of robust statistical methods designed to enhance your understanding of hypothesis testing and improve the efficacy of data analysis. This expertly revised ebook emphasizes practical applications, demonstrating how modern robust techniques can significantly elevate the detection of genuine differences across groups and authentic associations between variables.

This third edition expands upon the foundational principles of robust methods, incorporating the latest advancements in R, while phasing out support for S-Plus. The ebook meticulously covers robust ANOVA (Analysis of Variance) and regression techniques, guiding advanced students and professionals alike through the critical strategies necessary for formulating effective solutions to complex problems. It also offers concise historical context to help readers grasp the development of these innovative methods.

Acclaimed author Rand Wilcox enriches the content with chapter exercises and a multitude of real-world examples, illuminating how various statistical techniques operate under diverse conditions and scenarios. This engaging approach not only enhances comprehension but also equips readers with practical tools to apply robust statistical methods in their own work.

REVIEWS

“…Wilcox has significantly expanded this ebook, almost doubling its size from the first edition. This edition is indispensable for anyone looking to deepen their statistical library.” — Technometrics, 2005

“This textbook focuses on the practical application of key modern and robust statistical methods. The initial chapters lay out the goals and mathematical foundations of these innovative approaches. The core content addresses prevalent issues encountered in ANOVA and regression while minimizing technical jargon. It thoughtfully evaluates the strengths and weaknesses of the methods presented, offering guidance on selecting the most suitable techniques for various scenarios. Chapter exercises complement the material, and it’s worth noting that the ebook assumes prior knowledge of introductory statistics, including ANOVA, hypothesis testing, and regression fundamentals. In the third edition, S-PLUS functionalities have been discontinued, with R functions taking prominence.” — Reference and Research Book News, Inc.

NOTE: This product includes only the ebook, Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition, in PDF format. Please be aware that no access codes are provided.

Unlock the power of robust statistical methods today and enhance your analytical skills with this essential resource!