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Nonparametric statistics

Most popular at the top

  • Precedence-Type Tests and Applicationsby N. Balakrishnan; H. K. Tony Ng

    Wiley 2006; US$ 144.00

    Full coverage of statistical techniques for developing and implementing precedence-type tests Precedence-Type Tests and Applications provides a comprehensive overview of theoretical and applied approaches to a variety of problems in which precedence-type test procedures can be used. The authors clearly demonstrate the effectiveness of these tests... more...

  • Introduction to Statistics Through Resampling Methods and Microsoft Office Excelby Phillip I. Good

    Wiley 2005; US$ 108.00

    Learn 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...

  • Nonparametric Regression Methods for Longitudinal Data Analysisby Hulin Wu; Jin-Ting Zhang

    Wiley 2006; US$ 144.00

    Incorporates 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 Engineeringby Paul H. Kvam; Brani Vidakovic

    Wiley 2007; US$ 155.00

    A 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...

  • Nonparametric Inferenceby Z Govindarajulu

    World Scientific Publishing Company 2007; US$ 236.00

    This 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 Functional Data Analysisby Frédéric Ferraty; Philippe Vieu

    Springer 2006; US$ 149.00

    Modern 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...

  • Introduction to Statistics Through Resampling Methods and R/S-PLUSby Phillip I. Good

    Wiley 2012; US$ 90.00

    Stimulate 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...

  • NONPARAMETRIC STATISTICAL METHODS AND RELATED TOPICSby F. J. Samaniego; J. Jiang

    World Scientific Publishing Company 2011; US$ 186.00

    This volume consists of 22 research papers by leading researchers in Probability and Statistics. Many of the papers are focused on themes that Professor Bhattacharya has published on research. Topics of special interest include nonparametric inference, nonparametric curve fitting, linear model theory, Bayesian nonparametrics, change point problems,... more...

  • Deconvolution Problems in Nonparametric Statisticsby Alexander Meister

    Springer 2009; US$ 89.99

    This 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...

  • Text Mining with MATLAB®by Rafael E. Banchs

    Springer 2012; US$ 129.00

    "Text Mining with MATLAB" provides a comprehensive introduction to text mining using MATLAB. It's designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The first part provides an introduction to basic procedures... more...