Markov Processes For Stochastic Modeling(2nd Edition)
Authors:
Oliver Ibe
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
In Stock: 2 Left
Shipment time
Expected shipping within 2 - 3 DaysPopular items with books
Access to 35 Million+ Textbooks solutions
Free ✝
Ask Unlimited Questions from expert
AI-Powered Answers
30 Min Free Tutoring Session
✝ 7 days-trial
Total Price:
$77.1
List Price: $110.14
Savings: $33.04
(30%)
Solution Manual Includes
Access to 30 Million+ solutions
Ask 50 Questions from expert
AI-Powered Answers
24/7 Tutor Help
Detailed solutions for Markov Processes For Stochastic Modeling
Price:
$9.99
/month
Book details
ISBN: 0323282954, 9780323282956
Book publisher: Elsevier
Offer Just for You!:
Buy 2 books before the end of January and enter our lucky draw.
Customers also bought these books
Popular Among Students
Customer Reviews
Trusted feedback from verified buyers
DS
Markov Processes For Stochastic Modeling is an exceptional textbook that covers a comprehensive range of topics in stochastic modeling with clarity and expertise. The examples provided are practical and well-explained, making complex concepts accessible and engaging. Happy to report that my order arrived promptly and was well-packaged. As a student with a Prime membership, I got this with a sweet discount. Definitely worth the purchase!
HT
If you’re venturing into stochastic processes, this book is a must-have. It dives deep into Markov models with a balance of theoretical and practical perspectives. What sets it apart is the seamless flow of information and clarity in presentation. The delivery was swift, and it came in perfect condition. I used my student membership for an additional discount, which was a pleasant bonus!
MS
This book provides a robust introduction to Markov processes. Theories are well laid out and followed by practical applications, making it an invaluable resource for anyone looking to deepen their understanding of stochastic modeling. The only minor downside I found was that some sections could be updated with more recent data examples. Despite that, it arrived quickly and was well-packaged.
CN
This book served as a decent entry point for my exploratory journey into Markov processes. It did manage to explain some of the foundational aspects clearly but lacked depth in more advanced topics. It’s good for beginners but might leave advanced readers wanting more. I would recommend using supplementary material to get a full grasp of the subject.































