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Probabilities. Mathematical statistics

Most popular at the top

  • Gaussian Markov Random Fieldsby Havard Rue; Leonhard Held

    Taylor and Francis 2005; US$ 119.95

    Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. This book includes extensive case-studies... more...

  • Generalized Least Squaresby Takeaki Kariya; Hiroshi Kurata

    Wiley 2004; US$ 181.00

    Generalised Least Squares adopts a concise and mathematically rigorous approach.  It will provide an up-to-date self-contained introduction to the unified theory of generalized least squares estimations, adopting a concise and mathematically rigorous approach. The book covers in depth the 'lower and upper bounds approach', pioneered by the first... more...

  • Independent Component Analysisby Aapo Hyvarinen; Juha Karhunen; Erkki Oja

    Wiley 2004; US$ 182.00

    A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical... more...

  • Decision Spaceby Paul Weirich

    Cambridge University Press 2001; US$ 54.00

    This book, first published in 2001, combines traditional and novel methods of option evaluation into one systematic and versatile method. more...

  • Introduction to Stochastic Search and Optimizationby James C. Spall

    Wiley 2005; US$ 180.00

    A unique interdisciplinary foundation for real-world problem solving Stochastic search and optimization techniques are used in a vast number of areas, including aerospace, medicine, transportation, and finance, to name but a few. Whether the goal is refining the design of a missile or aircraft, determining the effectiveness of a new drug, developing... more...

  • An Introduction to Numerical Analysisby Endre Süli; David F. Mayers

    Cambridge University Press 2003; US$ 56.00

    Introduction to numerical analysis combining rigour with practical applications. Numerous exercises plus solutions. more...

  • A Guide to MATLABby Brian R. Hunt; Ronald L. Lipsman; Jonathan M. Rosenberg

    Cambridge University Press 2001; US$ 58.00

    This book is a short, focused introduction to MATLAB and should be useful to both beginning and experienced users. more...

  • Robust Statisticsby Peter J. Huber

    Wiley 2005; US$ 208.00

    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...

  • Generalized, Linear, and Mixed Modelsby Charles E. McCulloch; Shayle R. Searle

    Wiley 2004; US$ 143.50

    Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible... more...

  • Applied Optimal Designsby Martijn P.F. Berger; Weng-Kee Wong

    Wiley 2005; US$ 153.00

    There is an increasing need to rein in the cost of scientific study without sacrificing accuracy in statistical inference. Optimal design is the judicious allocation of resources to achieve the objectives of studies using minimal cost via careful statistical planning. Researchers and practitioners in various fields of applied science are now beginning... more...