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Mathematical statistics

Most popular at the top

  • Geometrical Foundations of Asymptotic Inferenceby Robert E. Kass; Paul W. Vos

    Wiley 2011; US$ 215.00

    Differential geometry provides an aesthetically appealing and often revealing view of statistical inference. Beginning with an elementary treatment of one-parameter statistical models and ending with an overview of recent developments, this is the first book to provide an introduction to the subject that is largely accessible to readers not already... more...

  • Geometry Driven Statisticsby Ian L. Dryden; John T. Kent

    Wiley 2015; US$ 120.00

    A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia This volume celebrates Kanti V. Mardia's long and influential career in statistics. A common theme unifying much of Mardia’s work is the importance of geometry in... more...

  • Guide to Intelligent Data Analysisby Michael R. Berthold; Christian Borgelt; Frank Höppner; Frank Klawonn

    Springer London 2010; US$ 89.95

    This is a systematic overview and classification of tasks in data analysis, methods to solve them and typical problems encountered. The book combines views from classical and non-classical statistics like Bayesian inference and robust statistics. more...

  • How Many Licks?by Aaron Santos

    Running Press 2009; US$ 14.95

    Close Enough Is Finally Good Enough! more...

  • In All Likelihoodby Yudi Pawitan

    Oxford University Press 2001; US$ 59.99

    Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. Every... more...

  • Induktive Statistikby Georg Bol

    De Gruyter 2003; US$ 31.00

    Einführung in die schließende Statistik anhand von vielen Beispielen. Mit Übungsaufgaben! Aus dem Inhalt: Das klassische Entscheidungsmodell. Entscheidungen bei Information über den wahren Zustand. Grundannahmen der Statistik. Stichprobenfunktionen. Erwartungstreue Schätzfunktionen. Maximum-Likelihood-Schätzfunktionen. Intervallschätzungen. Tests zum... more...

  • Information and Exponential Families in Statistical Theoryby O. Barndorff-Nielsen

    Wiley 2014; US$ 90.00

    First published by Wiley in 1978, this book is being re-issued with a new Preface by the author. The roots of the book lie in the writings of RA Fisher both as concerns results and the general stance to statistical science, and this stance was the determining factor in the author's selection of topics. His treatise brings together results on aspects... more...

  • An Introduction to Bootstrap Methods with Applications to Rby Michael R. Chernick; Robert A. LaBudde

    Wiley 2014; US$ 118.00

    A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully... more...

  • Introduction to Mixed Modellingby N. W. Galwey

    Wiley 2014; US$ 105.00

    Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained.... more...

  • An Introduction to Statistical Computingby Jochen Voss

    Wiley 2013; US$ 88.00

    A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book gives a comprehensive... more...