Probability with applications in engineering, science, and technology /

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 scen...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Carlton, Matthew A.
Otros Autores: Devore, Jay L.
Formato: Sin ejemplares
Lenguaje:
Publicado: New York : Springer, c2017.
Edición:2nd edition.
Colección:Springer texts in statistics,
Materias:
Acceso en línea:Indice
Tapa
LEADER 03577nam#a22003255a#4500
001 BCCAB020134
003 AR-BCCAB
005 20220224101118.0
008 170127s2017####nyud###f######001#0#eng##
020 # # |a 9783319524009 
040 # # |a DLC  |b eng  |e rda  |c DLC  |d arbccab 
080 # # |a 519.21 
100 1 # |a Carlton, Matthew A. 
245 1 0 |a Probability with applications in engineering, science, and technology /  |c Matthew A. Carlton, Jay L. Devore. 
250 # # |a 2nd edition. 
260 # # |a New York :  |b Springer,  |c c2017. 
300 # # |a xxv, 610 p. :  |b il. col. ;  |c 25 cm. 
490 0 # |a Springer texts in statistics,  |x 1431875X 
520 # # |a 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 
650 # 7 |a Probabilidad  |2 inist 
650 # 7 |a Probability  |2 inist 
650 # 7 |a Statistics  |2 inist 
650 # 7 |a Statistics  |2 inist 
653 # # |a Statistical theory and methods 
653 # # |a Teoría y métodos estadísticos 
700 1 # |a Devore, Jay L. 
856 4 1 |u http://campi.cab.cnea.gov.ar/tocs/24475.pdf  |3 Indice 
856 4 1 |u https://images-na.ssl-images-amazon.com/images/I/41TdedNrF0L.%5FSX348%5FBO1,204,203,200%5F.jpg  |3 Tapa 
942 # # |c BK 
952 # # |2 udc  |a ARBCCAB  |b ARBCCAB  |d 20220117  |e Ediciones Journal  |g $  |i 24475  |o 519.21 C197 Ed.2  |p 24475  |t 1  |y BK