Nonlinear Time Series Nonparametric And Parametric Methods Component Analysis(1st Edition)
Authors:
Jianqing Fan , Qiwei Yao
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 0387261427, 978-0387261423
Book publisher: Springer
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Customer Reviews
Trusted feedback from verified buyers
SP
Overall, a very helpful guide for those dealing with nonlinear time series. The book covers both theoretical underpinnings and practical applications. I particularly appreciated the chapter with clear explanations and detailed examples. However, I felt some sections could be more concise. Arrived on time and in pristine condition, thanks to expedited shipping. Also, saved a few bucks with my membership discount!
GK
It's a solid resource for anyone studying nonlinear time series. Loved how it delves into both nonparametric and parametric methods without losing focus. Previously, I've struggled with understanding component analysis, but this book breaks it down nicely. I found the material to be mostly engaging, though a few areas could benefit from more examples. As a plus, the seller made sure it was well-packaged for delivery. Overall, a valuable addition to my library.
SA
This book is a gem! It provides an in-depth exploration of nonlinear time series with a perfect balance between nonparametric and parametric methods. The component analysis part was incredibly well-explained, offering clear examples that I found easy to follow. The authors have done an excellent job making complex topics accessible. Well-packaged and arrived quickly at my doorstep. Highly recommended for anyone delving into advanced data analysis methods!





























