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Mathematical statistics

Most popular at the top

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

    Wiley 2006; US$ 132.00 US$ 118.80

    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...

  • 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...

  • Elements of Computational Statisticsby James E. Gentle

    Springer New York 2006; US$ 165.47

    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...

  • 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 Adrian E. Raftery; 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...

  • Introduction to Robust Estimation and Hypothesis Testingby Rand R. Wilcox

    Elsevier Science 2005; US$ 124.95

    This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background... more...

  • Introduction to Mixed Modellingby N. W. Galwey

    Wiley 2007; US$ 113.00 US$ 101.70

    Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition of random effects. However, many perceive mixed modelling as an intimidating and specialized technique. This book introduces mixed modelling analysis in a simple and straightforward way, allowing... more...

  • The Statistical Analysis of Interval-censored Failure Time Databy Jianguo Sun

    Springer New York 2007; US$ 165.47

    This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic and complements the books on right-censored data. more...

  • Probabilistic Conditional Independence Structuresby Milan Studeny

    Springer London 2006; US$ 141.83

    Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence Structures provides the mathematical description of probabilistic conditional independence structures; the author uses non-graphical methods of their description, and takes an algebraic approach. The monograph presents... more...