Probability, statistics, and random processes for electrical engineering / Alberto Leon-Garcia. -- 3rd ed . The Joint pdf of Two Continuous Random Variables . Probability & Random Processes for Electrical Engineering 2nd Edition . Transformation of random vectors. pdf of linear transformations. pdf. Probability, Statistics, and Random Processes for Electrical Engineering Auth: Advanced Engineering Mathematics, 2nd Edition (Solutions Mathematics.
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Probability and random processes for electrical engineering. and Y The Joint pdf of Two Continuous Random Variables Independence B = “hand is between 2nd and 8th hours inclusive”; and D = “hand is in an odd hour . Save this Book to Read probability statistics and random processes for electrical engineering by alberto leon garcia 2nd edition PDF eBook at. including random vectors, Gaussian random vectors, random processes, eBook (EBL) .. taking the required course in probability for electrical engineers.
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Showing Rating details. More filters. Sort order. Nov 03, AJ rated it did not like it Shelves: One of the worst books I've ever read about probability. Don't even bother with this one. Oct 13, Engr Faizan marked it as to-read. Ali Malik rated it really liked it Sep 22, Anam rated it it was amazing Oct 19, Chang rated it really liked it May 24, Rao Raees rated it it was amazing Mar 16, James Ritter rated it liked it Jan 02, Chris Aldrich rated it really liked it Feb 02, Fakhar rated it really liked it Oct 08, Total price: Add all three to Cart Add all three to List.
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Fundamentals of Applied Electromagnetics 7th Edition. From the Back Cover This is the standard textbook for courses on probability and statistics, not substantially updated. Read more. Product details Paperback: Pearson; 3 edition January 7, Language: English ISBN Try the Kindle edition and experience these great reading features: Share your thoughts with other customers. Write a customer review.
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Paperback Verified download. To start with, I want to be clear that when I used this textbook for a graduate course it was at least ten years after I had graduated from my undergraduate studies in engineering, so my perspective will be different from many other reviewers.
I found that this book was much more clear and well-organized than other textbooks in probability and random processes that I had encountered in the past. I have a few other books on the same subject and many of them just present the terminology without any examples. I also thought that this book was more comprehensive than other ones that I have seen in the past.
Upon receiving the book, I cracked it open and was surprised to find the pages came out of the book as I turned them. I'm dealing with it, but it's hard to focus on the material while holding the previously read sections with my left hand, like a clamp and making sure not to fully open each page by cracking the book open just enough so light can shine into the crevasse formed between two pages - as fully opening the pages like one would normally causes the pages to come loose.
I'll likely DIY re-bind the book somehow. The content seems good so far - only in chapter 2, but it's so much work just to read a new page and maintain the previous read sections so the entire book does not come apart.
Forget about quickly flipping back to previous sections for a reference; it's just not possible to do and maintain the delicate binding. I generously give a 2 starts since I have not completed the book yet.
I may bump it up to a three stars if the content turns out to be amazing. For a quick background on me, I'm holding a 4. I really hate this book actually, but I have to give it credit for presenting a very difficult topic very thoroughly. The thing I hate about this book is how it presents the information. The author assumes that you started reading from page 1 and worked every problem in the book as you went if you did this, by the way, you'd be an expert in probability but you also would spend FAR more time than is available on this topic every week.
Very often problems will refer back to earlier problems and earlier examples, and many times the references are so obscure that it is very difficult to follow. I'm sorry that I don't know a better book to recommend, but I highly recommend avoiding this one if you can. Didn't care for the book.
Many large assumptions about prior knowledge. It's very difficult to figure out what you're supposed to do with them. Not an "understanding the material" problem, but an "understanding what this is asking me to do" one.
The prof was aware of this problem and gave us the fully worked answers and made homework no credit as he's used this book previously. I guess there aren't many probability textbooks with a focus on EE to choose from. The EE part was almost completely worthless anyway.
Word problems read "a signal is doing blah blah" instead of "Little Sally is doing blah blah". Almost nothing gained from the EE focus. It mentions gaussian noise in signals a couple of times, but with an EE professor to fill you in on those little tidbits there's nothing redeeming about this book. Most of the important information has to be discovered by solving the problems, which don't have solutions.