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Mathematical statistics

Most popular at the top

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

    CRC Press 2004; US$ 125.95

    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...

  • Quasi-Likelihood And Its Applicationby Christopher C. Heyde

    Springer New York 2008; US$ 130.64

    This book is concerned with the general theory of optimal estimation of - rameters in systems subject to random e?ects and with the application of this theory. The focus is on choice of families of estimating functions, rather than the estimators derived therefrom, and on optimization within these families. Only assumptions about means and covariances... more...

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

    Wiley 2005; US$ 127.00 US$ 110.07

    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...

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

    Cambridge University Press 2005; US$ 32.00 US$ 26.24

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

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

    Wiley 2006; US$ 132.00 US$ 114.40

    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...

  • Statistical Modelling with Quantile Functionsby Warren Gilchrist

    CRC Press 2000; US$ 132.95

    Galton used quantiles more than a hundred years ago in describing data. Tukey and Parzen used them in the 60s and 70s in describing populations. Since then, the authors of many papers, both theoretical and practical, have used various aspects of quantiles in their work. Until now, however, no one put all the ideas together to form what turns out to... more...

  • Statistics in the 21st Centuryby Martin A. Tanner; Martin T. Wells

    CRC Press 2001; US$ 99.95

    Exactly what is the state of the art in statistics as we move forward into the 21st century? What promises, what trends does its future hold? Through the reflections of 70 of the world's leading statistical methodologists, researchers, theorists, and practitioners, Statistics in the 21st Century answers those questions. Originally published in the... more...

  • Survey Samplingby Arijit Chaudhuri; Horst Stenger

    CRC Press 2005; US$ 121.95

    Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade to provide an outstanding... more...

  • Elements of Computational Statisticsby James E. Gentle

    Springer New York 2006; US$ 152.41

    In recent years developments in statistics have to a great extent gone hand in hand with developments in computing. Indeed, many of the recent advances in statistics have been dependent on advances in computer science and techn- ogy. Many of the currently interesting statistical methods are computationally intensive, eitherbecausetheyrequireverylargenumbersofnumericalcompu-... more...

  • Empirical Likelihoodby Art B. Owen

    CRC Press 2001; US$ 125.95

    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...