This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students.

� propos de l?auteur:

John Kolassa is Professor of Statistics and Biostatistics, Rutgers, the State University of New Jersey.

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Articles li�s � An Introduction to Nonparametric Statistics (Chapman...

An Introduction to Nonparametric Statistics (Chapman & Hall/CRC Texts in Statistical Science)

Kolassa, John E.

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