9781032967721 - Cornerstones in Quantitative Empirical Methods: Volume 1: Foundations by Bennedsen, Mikkel; Würtz, Allan (19 results)

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  • Language: English

    Published by Chapman and Hall/CRC, 2026

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    Hardcover. Condition: Brand New. 496 pages. 10.00x7.00x10.00 inches. In Stock.

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    Hardcover. Condition: new. Hardcover. Cornerstones in Quantitative Empirical Methods - Volume I: Foundations provides a complete, self-contained path from first principles to modern statistical inference, giving a comprehensive technical foundation for understanding and analyzing data problems using quantitative methods. The fir

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    Hardcover. Condition: new. Hardcover. Cornerstones in Quantitative Empirical Methods - Volume I: Foundations provides a complete, self-contained path from first principles to modern statistical inference, giving a comprehensive technical foundation for understanding and analyzing data problems using quantitative methods. The fir

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    Buch. Condition: Neu. Cornerstones in Quantitative Empirical Methods | Volume 1: Foundations | Mikkel Bennedsen (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | Chapman and Hall/CRC | EAN 9781032967721 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbiet

  • Language: English

    Published by Taylor & Francis Ltd, 2026

    1032967722 / 9781032967721

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    Hardcover. Condition: new. Hardcover. Cornerstones in Quantitative Empirical Methods - Volume I: Foundations provides a complete, self-contained path from first principles to modern statistical inference, giving a comprehensive technical foundation for understanding and analyzing data problems using quantitative methods. The fir

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    Language: English

    Published by Chapman And Hall/CRC, 2026

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cornerstones in Quantitative Empirical Methods - Volume I: Foundations provides a complete, self-contained path from first principles to modern statistical inference, giving a comprehensive technical foundation for understanding and analyzing d