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Probabilities. Mathematical statistics

Most popular at the top

  • The Crossing of Heavenby Karl Gustafson

    Springer 2012; US$ 47.99

    Among the group of physics honors students huddled in 1957 on a Colorado mountain watching Sputnik bisect the heavens, one young scientist was destined, three short years later, to become a key player in America's own top-secret spy satellite program. One of our era's most prolific mathematicians, Karl Gustafson was given just two weeks to... more...

  • Iris Rungeby Renate Tobies

    Springer 2012; US$ 119.99

    This book concerns the origins of mathematical problem solving at the internationally active Osram and Telefunken Corporations during the golden years of broadcasting and electron tube research. The woman scientist Iris Runge, who received an interdisciplinary education at the University of Gottingen, was long employed as the sole mathematical authority... more...

  • Smoothing Spline ANOVA Modelsby Chong Gu

    Springer 2013; US$ 99.99

     Nonparametric function estimation with stochastic data, otherwiseknown as smoothing, has been studied by several generations ofstatisticians. Assisted by the ample computing power in today'sservers, desktops, and laptops, smoothing methods have been findingtheir ways into everyday data analysis by practitioners. While scoresof methods have... more...

  • The Man Who Knew Infinityby Robert Kanigel

    Washington Square Press 2013; US$ 16.00

    In 1913, a young unschooled Indian clerk wrote a letter to G H Hardy, begging the preeminent English mathematician's opinion on several ideas he had about numbers. Realizing the letter was the work of a genius, Hardy arranged for Srinivasa Ramanujan to come to England. Thus began one of the most improbable and productive collaborations ever chronicled.... more...

  • Statistical Techniques for Data Analysisby John K. Taylor; Cheryl Cihon

    Chapman & Hall/CRC 2004; US$ 99.95

    Today, researchers in every area of applied science have access to the statistical techniques and technology they need to analyze data. All they need is practical guidance on using those techniques. This new edition provides straightforward discussion of basic statistical techniques and computer analysis. The purpose, structure, and principles remain... more...

  • Gaussian Markov Random Fields: Theory and Applicationsby Havard Rue; Leonhard Held

    Chapman & Hall/CRC 2005; US$ 109.95

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

  • MacLaurin's Physical Dissertationsby Ian Tweddle

    Springer 2007; US$ 84.99

    The Scottish mathematician Colin MacLaurin (1698-1746) is known for developing and extending Newton's work in calculus, geometry and gravitation; his "Treatise of Fluxions" was the first exposition of Newton's methods. This book presents these important works in translation, preceded by a translation of MacLaurin's MA dissertation... more...

  • Handbook of Continued Fractions for Special Functionsby Annie Cuyt

    Springer 2008; US$ 94.99

    Special functions are pervasive in all fields of science and industry. The most well-known application areas are in physics, engineering, chemistry, computer science and statistics. Because of their importance, several books and websites (see for instance http: functions.wolfram.com) and a large collection of papers have been devoted to these functions.... more...

  • An Introduction to Latent Variable Growth Curve Modelingby Terry E. Duncan; Susan C. Duncan; Lisa A. Strycker

    Taylor and Francis 2013; US$ 49.95

    This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It is designed to take advantage of the reader?s familiarity with analysis of variance... more...