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Statistics for Chemical Engineers

by Victor M. Zavala
Save 17% Save 17%
Current price ₹10,886.00
Original price ₹13,064.00
Original price ₹13,064.00
Original price ₹13,064.00
(-17%)
₹10,886.00
Current price ₹10,886.00

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Book cover type: Hardcover
  • ISBN13: 9781009541893
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Cambridge University Press
  • Publisher Imprint: Cambridge University Press
  • Publication Date:
  • Pages: 468
  • Original Price: GBP 84.99
  • Language: English
  • Edition: N/A
  • Item Weight: 1026 grams
  • BISAC Subject(s): Chemical & Biochemical

Build a firm foundation for studying statistical modelling, data science, and machine learning with this practical introduction to statistics, written with chemical engineers in mind. It introduces a data-model-decision approach to applying statistical methods to real-world chemical engineering challenges, establishes links between statistics, probability, linear algebra, calculus, and optimization, and covers classical and modern topics such as uncertainty quantification, risk modelling, and decision-making under uncertainty. Over 100 worked examples using Matlab and Python demonstrate how to apply theory to practice, with over 70 end-of-chapter problems to reinforce student learning, and key topics are introduced using a modular structure, which supports learning at a range of paces and levels. Requiring only a basic understanding of calculus and linear algebra, this textbook is the ideal introduction for undergraduate students in chemical engineering, and a valuable preparatory text for advanced courses in data science and machine learning with chemical engineering applications.

Zavala, Victor M.: - Victor M. Zavala is the Baldovin-DaPra Professor of Chemical and Biological Engineering at the University of Wisconsin, Madison and a Senior Computational Mathematician at Argonne National Laboratory. He is the recipient of the Harvey Spangler Award for Innovative Teaching and Learning Practices from the College of Engineering at UW-Madison, and of the Presidential Early Career Award for Scientists and Engineers (PECASE).

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