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"Robinson's text is an excellent overview of modern statistical techniques and is sure to become a definitive reference. He ably and concisely presents all of the necessary foundational mathematics while also providing a thorough description of sophisticated methods used by practicing engineers and scientists. I particularly enjoyed the division of the book into frequentist and Bayesian approaches and Robinson's clear discussion of the relative merits of each method."—Jeremy Kasdin, Princeton University
"With an accessible and consistent style, Data Analysis for Scientists and Engineers stands out for its depth of materials and pedagogical presentation. Building from simple concepts, the book's mathematical rigor and accuracy are solid and logical. This book is appropriate for senior undergraduates, graduate students at all levels, and practicing scientists."—Wade Fisher, Michigan State University

Data Analysis for Scientists and Engineers

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    £68.00

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    RRP £80.00 – you save £12.00 (15%)

    Order before 4pm tomorrow for delivery by Sat 4 Jul 2026.

    A Hardback by Edward L. Robinson

    5 in stock

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      Publisher: Princeton University Press
      Publication Date: 04/10/2016
      ISBN13: 9780691169927, 978-0691169927
      ISBN10: 0691169926

      Description

      Book Synopsis


      Trade Review
      "Robinson's text is an excellent overview of modern statistical techniques and is sure to become a definitive reference. He ably and concisely presents all of the necessary foundational mathematics while also providing a thorough description of sophisticated methods used by practicing engineers and scientists. I particularly enjoyed the division of the book into frequentist and Bayesian approaches and Robinson's clear discussion of the relative merits of each method."—Jeremy Kasdin, Princeton University
      "With an accessible and consistent style, Data Analysis for Scientists and Engineers stands out for its depth of materials and pedagogical presentation. Building from simple concepts, the book's mathematical rigor and accuracy are solid and logical. This book is appropriate for senior undergraduates, graduate students at all levels, and practicing scientists."—Wade Fisher, Michigan State University

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