Probability and stochastic processes
Yates, Roy D.
creator
Author.
Goodman, David J.
Joint author.
text
bibliography
nju
New Delhi
Wiley India Pvt. Ltd.
2021
2014
3rd ed.
monographic
eng
xx, 472 pages : illustrations ; 24 cm
"In Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, readers are able to grasp the concepts of probability and stochastic processes, and apply these in professional engineering practice. The 3rd edition also includes quiz solutions within the appendix of the text. The resource presents concepts clearly as a sequence of building blocks identified as an axiom, definition or theorem. This approach allows for a better understanding of the material, which can be utilized in solving practical problems"--
Machine generated contents note: Chapter 1. Experiments, Models, and Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continuous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Random Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter Estimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9. Estimation of a Random Variable Chapter 10. Stochastic Processes Chapter 11. Random Signal Processing Chapter 12. Markov Chains .
by Roy D. Yates and David J. Goodman.
Includes bibliographical references (pages 489-490) and index.
Probabilities
Stochastic processes
Mathematics
Probability & Statistics
519.23 YAT/P
9789354243455
IN-BhIIT
131204
20240222181503.0
TB11072