Fundamentals of Probability: With Stochastic Processes

Ghahramani, Saeed

ISBN 10: 1498755097 / ISBN 13: 9781498755092

Editore: Chapman and Hall/CRC, 2018

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Codice articolo Z1-C-088-07263

Dati bibliografici

• Titolo: Fundamentals of Probability: With Stochastic Processes
• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1498755097
• ISBN 13: 9781498755092
• Rilegatura: Rilegato
• Edizione: quarta edizione
• Condizione: Good

Descrizione articolo

Riassunto

"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it has sufficient material for a sequel course introducing stochastic processes and stochastic simulation."
--Nawaf Bou-Rabee, Associate Professor of Mathematics, Rutgers University Camden, USA

"This book is an excellent primer on probability, with an incisive exposition to stochastic processes included as well. The flow of the text aids its readability, and the book is indeed a treasure trove of set and solved problems. Every sub-topic within a chapter is supplemented by a comprehensive list of exercises, accompanied frequently by self-quizzes, while each chapter ends with a useful summary and another rich collection of review problems."
--Dalia Chakrabarty, Department of Mathematical Sciences, Loughborough University, UK

"This textbook provides a thorough and rigorous treatment of fundamental probability, including both discrete and continuous cases. The book’s ample collection of exercises gives instructors and students a great deal of practice and tools to sharpen their understanding. Because the definitions, theorems, and examples are clearly labeled and easy to find, this book is not only a great course accompaniment, but an invaluable reference."
--Joshua Stangle, Assistant Professor of Mathematics, University of Wisconsin – Superior, USA

This one- or two-term calculus-based basic probability text is written for majors in mathematics, physical sciences, engineering, statistics, actuarial science, business and finance, operations research, and computer science. It presents probability in a natural way: through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology. This book is mathematically rigorous and, at the same time, closely matches the historical development of probability. Whenever appropriate, historical remarks are included, and the 2096 examples and exercises have been carefully designed to arouse curiosity and hence encourage students to delve into the theory with enthusiasm.

New to the Fourth Edition:

• 538 new examples and exercises have been added, almost all of which are of applied nature in realistic contexts
• Self-quizzes at the end of each section and self-tests at the end of each chapter allow students to check their comprehension of the material
• An all-new Companion Website includes additional examples, complementary topics not covered in the previous editions, and applications for more in-depth studies, as well as a test bank and figure slides. It also includes complete solutions to all self-test and self-quiz problems

Saeed Ghahramani is Professor of Mathematics and Dean of the College of Arts and Sciences at Western New England University. He received his Ph.D. from the University of California at Berkeley in Mathematics and is a recipient of teaching awards from Johns Hopkins University and Towson University. His research focuses on applied probability, stochastic processes, and queuing theory.

Informazioni sull?autore

Saeed Ghahramani is Professor of Mathematics and Dean of the College of Arts and Sciences at Western New England University. He received his Ph.D. from the University of California at Berkeley in mathematics and is a recipient of teaching awards from Johns Hopkins University and Towson University. His research focuses in applied probability, stochastic processes, and queuing theory.