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Mathematical statistics

Most popular at the top

  • An Introduction to Statistical Computingby Jochen Voss

    Wiley 2013; US$ 85.00

    A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems.  Sampling-based simulation techniques are now an invaluable tool for exploring statistical models.  This book gives a comprehensive... more...

  • Permutation Tests in Shape Analysisby Luigi Salmaso; Chiara Brombin

    Springer 2013; US$ 39.99

    Statistical shape analysis is a geometrical analysis from a set of shapes in which statistics are measured to describe geometrical properties from similar shapes or different groups, for instance, the difference between male and female Gorilla skull shapes, normal and pathological bone shapes, etc. Some of the important aspects of shape analysis are... more...

  • Circular Statistics in Rby Arthur Pewsey; Markus Neuhäuser; Graeme D. Ruxton

    Oxford University Press 2013; US$ 48.99

    Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point; bond angles measured in different molecules; wind... more...

  • Telegraph Processes and Option Pricingby Alexander D. Kolesnik; Nikita Ratanov

    Springer 2013; US$ 54.99

    The telegraph process is a useful mathematical model for describing the stochastic motion of a particle that moves with finite speed on the real line and alternates between two possible directions of motion at random time instants. That is why it can be considered as the finite-velocity counterpart of the classical Einstein-Smoluchowski's model of... more...

  • Prozessoptimierungby Frank Wirbeleit

    De Gruyter Oldenbourg 2014; US$ 840.00

    This textbook guides the reader through all stages of process optimization, from the investigation and presentation of empirical prior data to the planning and analysis of independent statistical experimental designs. It focuses on the proven methods relevant to practice and avoids excessively technical scientific descriptions. Practical methodology... more...

  • Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conferenceby Jan Rychtar; Sat Gupta; Ratnasingham Shivaji; Maya Chhetri

    Springer 2013; US$ 199.00

    The Annual University of North Carolina Greensboro Regional Mathematics and Statistics Conference (UNCG RMSC) has provided a venue for student researchers to share their work since 2005. The 8th Conference took place on November 3, 2012. The UNCG-RMSC conference established a tradition of attracting active researchers and their faculty mentors from... more...

  • Statistical Inferenceby Murray Aitkin

    Taylor and Francis 2010; US$ 104.95

    Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct... more...

  • Information and Exponential Families in Statistical Theoryby O. Barndorff-Nielsen

    Wiley 2014; US$ 90.00

    First published by Wiley in 1978, this book is being re-issued witha new Preface by the author. The roots of the book lie in thewritings of RA Fisher both as concerns results and the generalstance to statistical science, and this stance was the determiningfactor in the author's selection of topics. His treatise bringstogether results on aspects of... more...

  • Introduction to Mixed Modellingby N. W. Galwey

    Wiley 2014; US$ 107.50

    This book first introduces the criterion of REstricted Maximum Likelihood (REML) for the fitting of a mixed model to data before illustrating how to apply mixed model analysis to a wide range of situations, how to estimate the variance due to each random-effect term in the model, and how to obtain and interpret Best Linear Unbiased Predictors (BLUPs)... more...

  • Statisticsby Michael J. Crawley

    Wiley 2014; US$ 41.50

    "...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006) A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R This new edition of a bestselling title offers a concise introduction to a broad array of... more...