Praise for previous editions: " a classic with a long history." - Statistical Papers "The fact that the first edition of this book was published in 1971 [is] testimony to the book's success over a long period." - ISI Short Book Reviews " one of the best books available for a theory course on nonparametric statistics. very well written and organized recommended for teachers and graduate students." - Biometrics " There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition." - Technometrics " Useful to students and research workers a good textbook for a beginning graduate-level course in nonparametric statistics." - Journal of the American Statistical Association Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The Sixth Edition carries on this tradition and incorporates computer solutions based on R.
CITATION STYLE
Gibbons, J. D., & Chakraborti, S. (2010). Nonparametric statistical inference. Nonparametric Statistical Inference (pp. 1–694). CRC Press. https://doi.org/10.5005/jp/books/10313_14
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