Nonlinear Time Series Theory Methods And Applications With R Examples Texts In Statistical Science(1st Edition)

Authors:

Randal Douc, Eric Moulines, David Stoffer

Free Nonlinear Time Series Theory Methods And Applications With R Examples Texts In Statistical Science1st EditionRandal Douc, Eric Moulines, David Stoffer1466502258, 978-1466502253
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ISBN: 1466502258, 978-1466502253

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Customer Reviews

Trusted feedback from verified buyers

LS
Laurence Simmons
4.0
Reviewed In United States United States • October 3, 2023
Very helpful guide if you're looking to enhance your understanding of nonlinear time series. While some parts were a bit dense, the practical examples using R really helped clarify things. Delivered on time, and with my subscription benefits, I got a nice discount.
WM
Walter Mercer
5.0
Reviewed In United States United States • September 15, 2023
This book is outstanding! I love how it breaks down nonlinear time series data with clear R examples. The authors have done an incredible job making this topic accessible for statisticians at various levels. Plus, got an extra discount with my membership, making it a steal for such quality content.
KF
Kevin Ford
5.0
Reviewed In United States United States • August 10, 2023
As someone who delves into statistical analysis frequently, I found this book to be an invaluable resource. It covers complex theories comprehensively, with well-structured examples using R which are really practical for data analysis tasks. The book arrived quickly, and I was impressed by the sturdy packaging. It’s a must-have if you're serious about time series analysis!
VL
Vivian Lowe
4.0
Reviewed In United States United States • July 22, 2023
A solid reference for anyone interested in the intricacies of time series analysis. This book balances theoretical concepts with practical R applications, which is quite rare. Delivery was prompt, and the book arrived in mint condition. Could use a bit more on advanced topics, but still a great buy!
SW
Stella Walsh
3.0
Reviewed In United States United States • June 29, 2023
The book provides a decent overview but left me wanting more depth in certain areas. It's an okay starting point if you're new to nonlinear time series. Arrived on time, but wasn't as engaging as I hoped.

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