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Nonparametric statistics

  • Recent Advances and Trends in Nonparametric Statisticsby M.G. Akritas; D.N. Politis

    Elsevier Science 2003; US$ 142.00

    The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime... more...

  • Topics in Nonparametric Statisticsby Michael G. Akritas; S. N. Lahiri; Dimitris N. Politis

    Springer New York 2014; US$ 95.62

    This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI and other organizations. M.G. Akritas, S.N. Lahiri... more...

  • Nonparametric Tests for Complete Databy Vilijandas Bagdonavi?us; Julius Kruopis; Mikhail Nikulin

    Wiley 2013; US$ 170.00 US$ 147.33

    This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying... more...

  • Nonparametric Tests for Censored Databy Vilijandas Bagdonavicus; Julius Kruopis; Mikhail Nikulin

    Wiley 2013; US$ 113.00 US$ 97.93

    This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical... more...

  • Text Mining with MATLAB®by Rafael E. Banchs

    Springer New York 2012; US$ 120.91

    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 for handling... more...

  • A Chronicle of Permutation Statistical Methodsby Kenneth J. Berry; Janis E Johnston; Paul W. Jr. Mielke

    Springer International Publishing 2014; US$ 98.92

    This book covers the birth and historical development of permutation statistical methods from the early 1920s to the present day. Using an accessible, non-mathematical approach, the book presents permutation analogs of many well-known statistical tests. more...

  • Nonparametric Hypothesis Testingby Stefano Bonnini; Livio Corain; Marco Marozzi; Luigi Salmaso

    Wiley 2014; US$ 93.00 US$ 80.60

    A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in permutation testing as... more...

  • Nonparametric Statisticsby Gregory W. Corder; Dale I. Foreman

    Wiley 2014; US$ 98.00 US$ 84.93

    “…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory.  It also deserves a place in libraries of all institutions where introductory statistics courses are taught." – CHOICE This  Second Edition  presents a practical and understandable... more...

  • Parametrische Statistikby Carsten F. Dormann

    Springer Berlin Heidelberg 2013; US$ 15.70

    In dem einführenden Werk für Anwender werden alle klassischen Statistik-Methoden aus der beschreibenden Statistik, aus Verteilungen und Maximum-Likelihood-Methode abgeleitet. Beispiele machen komplexe Zusammenhänge verständlich und erleichtern die Umsetzung. more...

  • Nonparametric Curve Estimationby Sam Efromovich

    Springer New York 2008; US$ 153.89

    Appropriate for a one-semester course, this self-contained book is an introduction to nonparametric curve estimation theory. It may be used for teaching graduate students in statistics (in this case an intermediate statistical inference, on the level of the book by G. Casella and R. Berger (1990) "Statistical Inference", Brooks/Cole, is the prerequisite)... more...