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Probability with Applications in Engineering, Science, and Technology (2nd Edition) – eBook

eBook details

  • Authors: Matthew A. Carlton, Jay L. Devore
  • File Size: 13 MB
  • Format: PDF
  • Length: 636 pages
  • Publisher: Springer; 2nd Edition
  • Publication Date: March 30, 2017
  • Language: English
  • ASIN: B073H6RJC3
  • ISBN-10: 3319524003
  • ISBN-13: 9783319524009

Original price was: $87.20.Current price is: $17.00.

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Author(s)

Jay L. Devore

Jay L. Devore

Dr. Jay Devore is Professor Emeritus of Statistics at California Polytechnic State University. He got his undergraduate degree in Engineering Science from the University of California at Berkeley, spent a year at the University of Sheffield in England, and his Ph.D. in statistics at Stanford University. Dr. DeVore previously taught at Oberlin College and the University of Florida and has had visiting appointments at Harvard, the University of Washington, Stanford, New York University, and Columbia University. From 1998 to 2006, he served as Chair of the Cal Poly Statistics Department. He has written several widely used statistics textbooks for scientists and engineers and an ebook in applied mathematical statistics.

Dr. Jay is the recipient of a distinguished teaching award from Cal Poly, is a Fellow of the American Statistical Association, and has served several terms as an Associate Editor of the Journal of the American Statistical Association. In his spare time, he enjoys cooking, tennis, reading, and travel to faraway places.

Matthew A. Carlton

This revised and updated first-course textbook in applied probability, Probability with Applications in Engineering, Science, and Technology, 2nd Edition, (PDF) offers a contemporary and lively post-calculus introduction to the subject of probability. The exposition shows a desirable balance between fundamental theory and many applications including a broad range of real problem scenarios. It is aimed to appeal to a wide audience, including statistics and mathematics majors, prospective scientists and engineers, and those social science and business majors interested in the quantitative features of their disciplines.

The textbook includes enough material for a year-long course, though many teachers will use it for a single term (one semester or one quarter). As such, three-course syllabi with extended course outlines are now available for download on the book’s page on the Springer website.

A one-term course would include material in the core chapters (1-4), accompanied by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8—available solely online and specifically designed for computer and electrical engineers, making the ebook suitable for a one-term class on random signals and noise).

For a year-long course, main chapters (1-4) are available to those who have taken a year of univariate integral and differential calculus; matrix algebra, multivariate calculus, and engineering mathematics are required for the latter, more advanced chapters.

At the core of the textbook’s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, about 700 exercises in the first four “core” chapters alone—a self-contained textbook of problems introducing basic theoretical knowledge essential for solving problems and illustrating how to solve the problems at hand – in MATLAB and R, including code so that students can make simulations.

New to this 2nd edition:

  • Redesigning of Section 7.7 on continuous-time Markov chains
  • Extended and updated instructions and solutions to problem sets
  • Supplementary materials involve three sample syllabi and updated solutions manuals for both instructors and students
  • Revised and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to use different sections for various objectives and time constraints

NOTE: The product only includes the ebook, Probability with Applications in Engineering, Science, and Technology, 2nd Edition, in PDF. No access codes are included.

 

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