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Status:
Available4.7
37 reviewsISBN 10: 012804733X
ISBN 13: 9780128047330
Author (bold): Rand Wilcox
Introduction to Robust Estimation and Hypothesis Testing provides a comprehensive introduction to modern robust statistical methods designed to handle violations of classical assumptions such as normality, homoscedasticity, and the presence of outliers. Rand Wilcox explains why traditional statistical techniques can fail in real-world data analysis and presents practical alternatives that offer greater accuracy and reliability. The book combines theory with applied examples, making it suitable for graduate students, researchers, and practitioners in statistics, psychology, and the social sciences.
chapter 1 Limitations of classical statistical methods
chapter 2 Robust measures of location and scale
chapter 3 Robust estimation techniques
chapter 4 Hypothesis testing with robust methods
chapter 5 Regression and correlation under non-ideal conditions
chapter 6 Practical applications and data analysis examples
robust statistics explained
robust hypothesis testing
handling outliers in data analysis
nonparametric and robust methods
advanced statistical analysis techniques
Tags: Introduction, Robust Estimation, Hypothesis, Rand Wilcox
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