Probability with Applications in Engineering; Science; and Technology (2nd Edition)


Download Probability with Applications in Engineering; Science; and Technology (2nd Edition) written by Matthew A. Carlton, Jay L. Devore in PDF format. This book is under the category Engineering and bearing the isbn/isbn13 number 3319524003/9783319524009. You may reffer the table below for additional details of the book.

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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.


Additional information


Matthew A. Carlton, Jay L. Devore


Springer; 2nd edition




636 pages









Table of contents

Table of contents :
Front Matter….Pages i-xxvii
Probability….Pages 1-66
Discrete Random Variables and Probability Distributions….Pages 67-145
Continuous Random Variables and Probability Distributions….Pages 147-237
Joint Probability Distributions and Their Applications….Pages 239-350
The Basics of Statistical Inference….Pages 351-422
Markov Chains….Pages 423-487
Random Processes….Pages 489-562
Introduction to Signal Processing….Pages 563-596
Back Matter….Pages 597-645

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