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G. A. Young – författare

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4 produkter

  1. R. L. Smith, G. A. Young - Essentials of Statistical Inference, E-bok. Tillgänglighet: Lägg i varukorg

    Essentials of Statistical Inference

    Av R. L. Smith, G. A. Young

    E-bok, 2005

    606 kr

    Lägg i varukorg

    Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well …

  2. G. A. Young, R. L. Smith - Essentials of Statistical Inference, Häftad. Tillgänglighet: Lägg i varukorg

    Essentials of Statistical Inference

    Av G. A. Young, R. L. Smith

    Häftad, 2010

    634 kr

    Lägg i varukorg

    Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well …

  3. G. A. Young, R. L. Smith - Essentials of Statistical Inference, Inbunden. Tillgänglighet: Lägg i varukorg

    Essentials of Statistical Inference

    Av G. A. Young, R. L. Smith

    Inbunden, 2005

    1321 kr

    Lägg i varukorg

    Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well …

  4. R. L. Smith, G. A. Young - Essentials of Statistical Inference, E-bok. Tillgänglighet: Lägg i varukorg

    Essentials of Statistical Inference

    Av R. L. Smith, G. A. Young

    E-bok, 2005

    620 kr

    Lägg i varukorg

    Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well …