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Martin Fox – författare

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4 produkter

  1. Robert E. Odeh, Martin Fox - Sample Size Choice, Häftad. Tillgänglighet: Lägg i varukorg

    Sample Size Choice

    Charts for Experiments with Linear Models, Second Edition

    Av Robert E. Odeh, Martin Fox

    Häftad, 2019

    1039 kr

    Lägg i varukorg

    A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione

  2. Robert E. Odeh, Martin Fox - Sample Size Choice, Inbunden. Tillgänglighet: Lägg i varukorg

    Sample Size Choice

    Charts for Experiments with Linear Models, Second Edition

    Av Robert E. Odeh, Martin Fox

    Inbunden, 1991

    3082 kr

    Lägg i varukorg

    A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione

  3. Martin Fox, Robert E. Odeh - Sample Size Choice, E-bok. Tillgänglighet: Lägg i varukorg

    Sample Size Choice

    Charts for Experiments with Linear Models, Second Edition

    Av Martin Fox, Robert E. Odeh

    E-bok, 2020

    1230 kr

    Lägg i varukorg

    A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione

  4. Martin Fox, Robert E. Odeh - Sample Size Choice, E-bok. Tillgänglighet: Lägg i varukorg

    Sample Size Choice

    Charts for Experiments with Linear Models, Second Edition

    Av Martin Fox, Robert E. Odeh

    E-bok, 2020

    1230 kr

    Lägg i varukorg

    A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione