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Nonparametric statistics
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Most popular at the top

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

    John Wiley & Sons, Inc. 2005; US$ 94.50

    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, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: * Tests and estimation procedures for one, two, and multiple samples * Model building * Multivariate analysis * Complex experimental design Throughout... more...

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

    John Wiley & Sons, Inc. 2006; US$ 133.00

    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 modeling ideas and inference methodologies, although some theoretical results for the justification of the proposed methods are presented. With its logical structure and organization, beginning with basic principles, the text develops the foundation needed to master advanced principles and applications. Following a brief overview, data examples from biomedical research studies are presented and... more...

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

    John Wiley & Sons, Inc. 2006; US$ 133.00

    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 in life-testing situations designed for making quick and reliable decisions in the early stages of an experiment. Most of the text's examples use life-time data; however, theoretical properties are also discussed in the context of precedence testing. Monte Carlo studies are used to illustrate important results. Following the authors' careful step-by-step instructions and guidance, readers master... more...

  • All of Nonparametric Statisticsby Larry Wasserman

    Springer-Verlag New York Inc 2006; US$ 99.00

    Focuses 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...

  • Nonparametric Statistics with Applications to Science and Engineeringby Paul H. Kvam; Brani Vidakovic

    John Wiley & Sons, Inc. 2007; US$ 144.00

    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 rank tests in an applied fashion, with an emphasis on modern methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical likelihood, and goodness-of-fit testing. Nonparametric Statistics with Applications to Science and Engineering begins with succinct coverage of basic results for order statistics, methods of categorical data analysis, nonparametric regression,... more...

  • Nonparametric Inferenceby Z Govindarajulu

    World Scientific 2007; US$ 140.40

    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 the material. more...

  • Nonparametric Functional Data Analysisby Frédéric Ferraty; Philippe Vieu

    Springer 2006; US$ 109.00

    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

    John Wiley & Sons 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, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: Tests and estimation procedures for one, two, and multiple samples Model building Multivariate analysis Complex experimental design Throughout the text, the R programming language is used... more...

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