Probability with Applications in Engineering, Science, and Technology
- ISBN-10
- 3319524011
- ISBN-13
- 9783319524016
- Category
- Mathematics
- Pages
- 610
- Language
- English
- Published
- 2017-03-30
- Publisher
- Springer
- Authors
- Jay L. Devore, Matthew A. Carlton
Description
This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the book’s page on the Springer website. A one-term course would cover material in the core chapters (1-4), supplemented 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 exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise). For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbook’s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four “core” chapters alone—a self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand – in R and MATLAB, including code so that students can create simulations. New to this edition • Updated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints • Extended and revised instructions and solutions to problem sets • Overhaul of Section 7.7 on continuous-time Markov chains • Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students
Get the book
Other editions
-
- 2017-04-07
- 610 pages
- Paperback
- Springer
Similar books
-
Probability with Applications to Science, Engineering, and Technology
By Jay L. Devore, Matthew A. CarltonRevised edition of: Probability with applications in engineering, science, and technology / Matthew A. Carlton, Jay L. Devore.
-
Probability with Applications in Science and Engineering
By Michael FullerThe various sub-fields of science and technology with respect to probability, along with technological progress that have future implications are glanced at in this book.
-
Statistics and Probability for Engineering Applications
By William DeCourseyBoston: PWS Publishing, 1994 Walpole, Ronald E., & Raymond H. Myers. Probability and Statistics for Engineers and Scientists, 7th Edition. New Jersey: Prentice Hall, 2002 Ziemer, Rodger E. Elements of Engineering Probability ...
-
Probability and Statistics for Engineering and the Sciences + Enhanced Webassign Access
Probability and Statistics for Engineering and the Sciences + Enhanced Webassign Access
-
High-Dimensional Probability: An Introduction with Applications in Data Science
By Roman VershyninHigh-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions.
-
Introduction to Probability Theory With Engineering Applications
By Aly FaragThe text is organized into five chapters and three appendices. The opening chapter introduces the notion of probability as a model or representation for the uncertainty associated with statistical experiments.
-
Introduction to Probability and Statistics for Science, Engineering, and Finance
By Walter A. RosenkrantzProbabilities are numbers of the same nature as distances in geometry or masses in mechanics. ... After analyzing the distribution of the data via the methods of exploratory data analysis the next step is statistical inference, ...
-
Computational Probability: Algorithms and Applications in the Mathematical Sciences
By Lawrence M. Leemis, John H. Drew, Diane L. EvansThis new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL).
-
Probability, Statistics, and Queueing Theory
By Arnold O. AllenThe book has also been successfully used for courses in queueing theory for operations research students. This second edition includes a new chapter on regression as well as more than twice as many exercises at the end of each chapter.
-
Introduction to Probability and Statistics for Engineers and Scientists
By Sheldon M. RossReviews fundamental concepts and applications of probability and statistics. After a general overview, it considers special types of random variables, using examples which illustrate their wide variety of applications. Also...