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Mathematical statistics

Most popular at the top

  • Introductory Statistics, Student Solutions Manual (e-only)by Sheldon M. Ross

    Elsevier Science 2005; US$ 9.99

    Introductory Statistics, Student Solutions Manual (e-only) more...

  • Mathematical Statistics with Applicationsby K.M. Ramachandran; Chris P. Tsokos

    Elsevier Science 2009; US$ 123.00

    Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms... more...

  • Statistical Group Comparisonby Tim Futing Liao

    Wiley 2011; US$ 179.00

    An incomparably useful examination of statistical methods for comparison The nature of doing science, be it natural or social, inevitably calls for comparison. Statistical methods are at the heart of such comparison, for they not only help us gain understanding of the world around us but often define how our research is to be carried out. The need... more...

  • Robust Statisticsby Frank R. Hampel; Elvezio M. Ronchetti; Peter J. Rousseeuw; Werner A. Stahel

    Wiley 2011; US$ 199.95

    The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians,... more...

  • Aspects of Statistical Inferenceby A. H. Welsh

    Wiley 2011; US$ 204.00

    Relevant, concrete, and thorough—the essential data-based text on statistical inference The ability to formulate abstract concepts and draw conclusions from data is fundamental to mastering statistics. Aspects of Statistical Inference equips advanced undergraduate and graduate students with a comprehensive grounding in statistical inference,... more...

  • 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...

  • Statistics is Easy! 2nd Editionby Dennis Shasha; Manda Wilson

    Morgan & Claypool Publishers 2010; US$ 35.00

    Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this... more...

  • Theory and Applications of Gaussian Quadrature Methodsby Narayan Kovvali

    Morgan & Claypool Publishers 2011; US$ 35.00

    Gaussian quadrature is a powerful technique for numerical integration that falls under the broad category of spectral methods. The purpose of this work is to provide an introduction to the theory and practice of Gaussian quadrature. We study the approximation theory of trigonometric and orthogonal polynomials and related functions and examine the analytical... more...

  • Behavioral Research Data Analysis with Rby Yuelin Li; Jonathan Baron

    Springer 2011; US$ 59.95

    This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical... more...

  • R by Exampleby Jim Albert; Maria Rizzo

    Springer 2012; US$ 64.95

    R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using... more...