โ Scribed by Peyton Z. Peebles Jr.
No coin nor oath required. For personal study only.
This concise introduction to probability theory carries on the success of previous editions, offering readers a logical, well-organized look at the fundamental of the subject--includes applications that strengthen engineers' grasp of probability concepts. New! Coverage of discrete-time random processes and sequences, and other general topics related to digital signal processing.
๐ SIMILAR VOLUMES
This concise introduction to probability theory carries on the success of previous editions, offering readers a logical, well-organized look at the fundamental of the subject - includes applications that strengthen engineers' grasp of probability concepts.
This very successful concise introduction to probability theory for the junior-senior level course in electrical engineering offers a careful, logical organization which stresses fundamentals and includes over 800 student exercises and abundant practical applications (discussions of noise figures an
<p><i>Probability, Random Variables, and Random Processes</i> is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some famil
<p><i>Probability, Random Variables, and Random Processes</i> is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some famil