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Rebecca M. Warner – författare

Visar alla böcker från författaren Rebecca M. Warner. Handla med fri frakt och snabb leverans.

4 produkter

  1. Rebecca M. Warner - Applied Statistics II, E-bok. Tillgänglighet: Lägg i varukorg

    Applied Statistics II

    Multivariable and Multivariate Techniques

    Av Rebecca M. Warner

    E-bok, 2020

    1292 kr

    Lägg i varukorg

    Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics II: Multivariable and Multivariate Techniques, Third Edition is a core multivariate statistics text based …

  2. Rebecca M. Warner - Applied Statistics I - International Student Edition, Häftad. Tillgänglighet: Lägg i varukorg

    Applied Statistics I - International Student Edition

    Basic Bivariate Techniques

    Av Rebecca M. Warner

    Häftad, 2020

    1743 kr

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    Applied Statistics I: Basic Bivariate Techniques has been created from the first half of Rebecca M. Warner's popular Applied Statistics: From Bivariate Through Multivariate Techniques . The author's contemporary approach differs from some of the well-worn texts in the market, and reflects current …

  3. Rebecca M. Warner - Applied Statistics I, E-bok. Tillgänglighet: Lägg i varukorg

    Applied Statistics I

    Basic Bivariate Techniques

    Av Rebecca M. Warner

    E-bok, 2020

    1320 kr

    Lägg i varukorg

    Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics I: Basic Bivariate Techniques, Third Edition is an introductory statistics text based on chapters from …

  4. Rebecca M. Warner - Spectral Analysis of Time-Series Data, Inbunden. Tillgänglighet: Lägg i varukorg

    Spectral Analysis of Time-Series Data

    Av Rebecca M. Warner

    Inbunden, 1999

    848 kr

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    This book provides a thorough introduction to methods for detecting and describing cyclic patterns in time-series data. It is written both for researchers and students new to the area and for those who have already collected time-series data but wish to learn new ways of understanding and …