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Mathematical statistics

Most popular at the top

  • Statistical Modelsby A. C. Davison

    Cambridge University Press 2003; US$ 58.00

    This 2003 book gives an integrated development of models and likelihood that blends theory and practice. more...

  • Asymptotic Statisticsby A. W. van der Vaart

    Cambridge University Press 2000; US$ 52.00

    A mathematically rigorous, practical introduction presenting standard topics plus research. more...

  • R for Marketing Research and Analyticsby Chris Chapman; Elea McDonnell Feit

    Springer International Publishing 2015; US$ 55.33

    This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from... more...

  • Statistics in a Nutshellby Sarah Boslaugh; Dr. Paul Andrew Watters

    O'Reilly Media 2009; US$ 27.99

    Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity... more...

  • Statistical Analysis of Spherical Databy N. I. Fisher; T. Lewis; B. J. J. Embleton

    Cambridge University Press 1993; US$ 86.00

    This is the first comprehensive, yet clearly presented, account of statistical methods for analysing spherical data. The analysis of data, in the form of directions in space or of positions of points on a spherical surface, is required in many contexts in the earth sciences, astrophysics and other fields, yet the methodology required is disseminated... more...

  • Robust Statisticsby Peter J. Huber

    Wiley 2005; US$ 208.00 US$ 187.20

    The first systematic, book-length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proofs. Tables contain quantitative robustness information... more...

  • Asymptotic Theory of Quantum Statistical Inference by Masahito Hayashi

    World Scientific Publishing Company 2005; US$ 156.00 US$ 141.96

    Quantum statistical inference, a research field with deep roots in the foundations of both quantum physics and mathematical statistics, has made remarkable progress since 1990. In particular, its asymptotic theory has been developed during this period. However, there has hitherto been no book covering this remarkable progress after 1990; the famous... more...

  • Theory of Preliminary Test and Stein-Type Estimation with Applicationsby A. K. Md. Ehsanes Saleh

    Wiley 2006; US$ 186.00 US$ 167.40

    Theory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods of estimation in a variety of standard models used in applied statistical inference. It is an in-depth introduction to the estimation theory for graduate students, practitioners, and researchers in various fields, such... more...

  • Common Errors in Statistics (and How to Avoid Them)by Phillip I. Good; James W. Hardin

    Wiley 2006; US$ 84.95 US$ 76.45

    Praise for the First Edition of Common Errors in Statistics " . . . let me recommend Common Errors to all those who interact with statistics, whatever their level of statistical understanding . . . " --Stats 40 " . . . written . . . for the people who define good practice rather than seek to emulate it." --Journal of Biopharmaceutical Statistics... more...

  • Robust Statistical Methods with Rby Jana Jurecková; Jan Picek

    CRC Press 2005; US$ 125.95

    Robust statistical methods were developed to supplement the classical procedures when the data violate classical assumptions. They are ideally suited to applied research across a broad spectrum of study, yet most books on the subject are narrowly focused, overly theoretical, or simply outdated. Robust Statistical Methods with R provides a systematic... more...