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This book discusses the fitting of parametric statistical models to data samples. Emphasis is placed on: (i) how to recognize situations where the problem is no
Nonparametric Statistical Inference
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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 ..
Notes on Non-parametric Statistical Inference
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Authors: Edwin J. G. Pitman
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Nonparametric Statistical Inference
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Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in
Bootstrapping
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Authors: Christopher Z. Mooney
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"This book is. . . clear and well-written. . . anyone with any interest in the basis of quantitative analysis simply must read this book. . . . well-written, wi