Isbn: 9783031844782 - beyond the t-test (14 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2025

    3031844785 / 9783031844782

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  • Lingua: Inglese

    Editore: Springer, 2025

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  • Lingua: Inglese

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  • Lingua: Inglese

    Editore: Springer, 2025

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  • Lingua: Inglese

    Editore: Springer, 2025

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  • Lingua: Inglese

    Editore: Springer, 2025

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  • Lingua: Inglese

    Editore: Springer Nature, 2025

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    Hardcover. Condizione: Brand New. 310 pages. 9.25x6.10x9.21 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2025

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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  • Lingua: Inglese

    Editore: Springer, Berlin, Springer Nature Switzerland, Springer, 2025

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book was inspired by years of questions asked by non-statistical professionals, from social scientists, public policy analysts, regulatory affairs specialists, engineers, and physical scientists. It provides them with both an intuitive explanation of many common statistical methods and enough mathematical background to help them justify those methods to others, such as regulatory agencies. It provides an introduction to commonly used methods that are not covered in a first elementary statistics course, such as partial least squares, MCMC, and neural networks. It also provides R code for making all the computations described in the text.As a textbook, it could be used as a second course instatistics for non-statisticians, in fields such as social sciences, public policy, engineering, chemistry, and physics. Many first-year graduate students have had an elementary statistics course, but were not exposed to enough of the mathematics to justify the application of those methods. Furthermore, they often encounter methods and concepts not touched upon in their first statistics course. This book provides the tools required to give a deeper understanding of statistical methods without being all about theorems and proofs. 298 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer Verlag GmbH, 2025

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

  • Lingua: Inglese

    Editore: Palgrave Macmillan, 2025

    3031844785 / 9783031844782

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book was inspired by years of questions asked by non-statistical professionals, from social scientists, public policy analysts, regulatory affairs specialists, engineers, and physical scientists. It provides them with both an intuitive explanation of many common statistical methods and enough mathematical background to help them justify those methods to others, such as regulatory agencies. It provides an introduction to commonly used methods that are not covered in a first elementary statistics course, such as partial least squares, MCMC, and neural networks. It also provides R code for making all the computations described in the text.As a textbook, it could be used as a second course instatistics for non-statisticians, in fields such as social sciences, public policy, engineering, chemistry, and physics. Many first-year graduate students have had an elementary statistics course, but were not exposed to enough of the mathematics to justify the application of those methods. Furthermore, they often encounter methods and concepts not touched upon in their first statistics course. This book provides the tools required to give a deeper understanding of statistical methods without being all about theorems and proofs.…

  • Lingua: Inglese

    Editore: Springer, Springer Jun 2025, 2025

    3031844785 / 9783031844782

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book was inspired by years of questions asked by non-statistical professionals, from social scientists, public policy analysts, regulatory affairs specialists, engineers, and physical scientists. It provides them with both an intuitive explanation of many common statistical methods and enough mathematical background to help them justify those methods to others, such as regulatory agencies. It provides an introduction to commonly used methods that are not covered in a first elementary statistics course, such as partial least squares, MCMC, and neural networks. It also provides R code for making all the computations described in the text.As a textbook, it could be used as a second course in statistics for non-statisticians, in fields such as social sciences, public policy, engineering, chemistry, and physics. Many first-year graduate students have had an elementary statistics course, but were not exposed to enough of the mathematics to justify the application of those methods. Furthermore, they often encounter methods and concepts not touched upon in their first statistics course. This book provides the tools required to give a deeper understanding of statistical methods without being all about theorems and proofs.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 312 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer, 2025

    3031844785 / 9783031844782

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  • Lingua: Inglese

    Editore: Springer, 2025

    3031844785 / 9783031844782

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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