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All of Nonparametric Statistics
Springer-Verlag New York Inc 2006; US$ 94.99Focuses on various aspects of nonparametric inference that covers various topics in one place. This text includes coverage of: the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. more...
Deconvolution Problems in Nonparametric Statistics
Springer 2009; US$ 64.99This book gives an introduction to deconvolution problems in nonparametric statistics, e.g. density estimation based on contaminated data, errors-in-variables regression, and image reconstruction. Some real-life applications are discussed while we mainly focus on methodology (description of the estimation procedures) and theory (minimax convergence... more...
Introduction to Statistics Through Resampling Methods and Microsoft Office Excel
Wiley 2005; US$ 104.00Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test,... more...
Introduction to Statistics Through Resampling Methods and R
Wiley 2013; US$ 59.95A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."—Technometrics Written in a highly accessible style, Introduction... more...
Introduction to Statistics Through Resampling Methods and R/S-PLUS
Wiley 2012; US$ 90.00Stimulate learning through discovery With its emphasis on the discovery method, this book allows readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers will quickly master and learn to apply statistical methods, such as bootstrap, decision trees, and permutations, to better characterize, report,... more...
Methodology in Robust and Nonparametric Statistics
CRC Press 2012; US$ 99.95Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algorithms,... more...
Nonparametric Functional Data Analysis
Springer 2006; US$ 99.99Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. more...
Nonparametric Inference
World Scientific Publishing Company 2007; US$ 140.40This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area. With the exception of some sections requiring familiarity with measure theory, readers with an advanced calculus background will be comfortable with... more...
Nonparametric Regression Methods for Longitudinal Data Analysis
Wiley 2006; US$ 139.00Incorporates mixed-effects modeling techniques for more powerful and efficient methods This book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonparametric regression models. The authors emphasize... more...
Nonparametric Statistics with Applications to Science and Engineering
Wiley 2007; US$ 150.00A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and... more...
