Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers

✍ Scribed by Roy D. Yates, David J. Goodman

• Publisher: Wiley
• Year: 2014
• Tongue: English
• Leaves: 513
• Edition: 3
• Category: Library

✦ Synopsis

This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first seven chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all chapters in one semester. 

✦ Table of Contents

Cover......Page 1
Preface......Page 9
Contents......Page 15
Ch. 1: Experiments, Models, and Probabilities......Page 19
Ch. 2: Sequential Experiments......Page 52
Ch. 3: Discrete Random Variables......Page 79
Ch. 4: Continuous Random Variables......Page 135
Ch. 5: Multiple Random Variables......Page 179
Ch. 6: Probability Models of Derived Random Variables......Page 235
Ch. 7: Conditional Probability Models......Page 259
Ch. 8: Random Vectors......Page 294
Ch. 9: Sums of Random Variables......Page 323
Ch. 10: The Sample Mean......Page 354
Ch. 11: Hypothesis Testing......Page 383
Ch. 12: Estimation of a Random Variable......Page 416
Ch. 13 Stochastic Processes......Page 446
Appendix A: Families of Random Variables......Page 494
Appendix B: A Few Math Facts......Page 500
References......Page 506
Index......Page 508