Provides conceptual, logical, and mathematical support for fundamental exploratory data analysis and robust and resistant methods. Discusses the attitudes and philosophy underlying these methods and examines the connections between exploratory techniques, conventional techniques, and classical statistical theory. Features a unified treatment of transformations. Also explains robust and resistant techniques of estimation through examples and accessible mathematics, emphasizing estimation of (symmetric) location and estimation of scale.
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"With a dozen chapters aimed at readers of a broad standard deviation of mathematical sophistication, this collection by notables in the field explains...connection of robust techniques and exploratory data analysis..." (SciTech Book News, Vol. 24, No. 4, December 2000)
"As a tribute to the long–lasting impact of this collection of papers, the editors...decided to add Understanding Robust and Exploratory Data Analysis to its Classic Library series...to extend the life of this important work by making it available to future generations of statisticians." (Journal of the American Statistical Association, September 2001)
"...this collection by notables in the field explains...connection of robust techniques and exploratory data analysis..." (SciTech Book News, Vol. 24, No. 4, December 2000)
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