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Mathematical statistics

Most popular at the top

  • Statistical Techniques for Data Analysis, Second Editionby John K. Taylor; Cheryl Cihon

    Taylor and Francis 2004; US$ 109.95

    Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Today, scientists in every field have access to the techniques and technology they need to analyze statistical... more...

  • Stereology for Statisticiansby Adrian Baddeley; Eva B. Vedel Jensen

    Taylor and Francis 2004; US$ 119.95

    Setting out the principles of stereology from a statistical viewpoint, this book focuses on both basic theory and practical implications. The authors discuss ways to effectively communicate statistical issues to clients, draw attention to common methodological errors, and provide references to essential literature. The first full text on design-based... more...

  • Handbook of Parametric and Nonparametric Statistical Proceduresby David J. Sheskin

    Taylor and Francis 1996; US$ 94.95

    Unparalled coverage of parametric and nonparametric statistical procedures. Details more than 75 statistical procedures. Contains information on how to select and use the appropriate statistical analysis for evaluating data from an empirical study. more...

  • Using R for Introductory Statisticsby John Verzani

    Taylor and Francis 2004; US$ 61.95

    The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it... more...

  • Essentials of Statistical Inferenceby G. A. Young; R. L. Smith

    Cambridge University Press 2005; US$ 32.00

    This 2005 textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference. more...

  • Estimation in Surveys with Nonresponseby ; Carl-Erik rndal; Lundströ; Sixten m

    Wiley 2005; US$ 119.00

    Around the world a multitude of surveys are conducted every day, on a variety of subjects, and consequently surveys have become an accepted part of modern life. However, in recent years survey estimates have been increasingly affected by rising trends in nonresponse, with loss of accuracy as an undesirable result. Whilst it is possible to reduce nonresponse... more...

  • Statistical Matchingby Marcello D'Orazio; Marco Di Zio; Mauro Scanu

    Wiley 2006; US$ 124.00

    There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information... more...

  • Computational Statistics Handbook with MATLABby Wendy L. Martinez

    CRC Press 2001; US$ 104.95

    Focusing on the computational aspects of statistics, this handbook seeks to make statistics accessible to a range of users. The authors integrate the use of MATLAB throughout the text, demonstrating the actual implementation of algorithms. They also include procedures for any suitable software. more...

  • The Challenge of Developing Statistical Literacy, Reasoning And Thinkingby Dani Ben-Zvi

    Springer 2006; US$ 219.00

    Research in statistics education is an emerging field, with much of the work being published in diverse journals across many disciplines. Locating and synthesizing this research is often a challenging task, as is connecting the research literature to practical issues of teaching and assessing students. This book is unique in that it collects, presents,... more...

  • Empirical Likelihoodby Art B. Owen

    Taylor and Francis 2010; US$ 119.95

    Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It also... more...