Nonlinear Time Series: Nonparametric and Parametric Methods (Springer Series in Statistics) by Jianqing Fan | (PDF) Free Download

Description

This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction, the two important goals of time series analysis. Such a book will benefit researchers and practitioners in various fields such as econometricians, meteorologists, biologists, among others who wish to learn useful time series methods within a short period of time. The book also intends to serve as a reference or text book for graduate students in statistics and econometrics.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐It came just in time (one and a half months). Is not completely a new book, minor damage…. seriously just minor damages. And everything else it’s ok!

⭐Not 2005’a version. Didn’t consist to its review!!!!!! So sad!!!!!

⭐This book introduces some basal concepts and also includes the recent technology in nonlinear time series. It’s not difficult to understand even if you are a novel. The cited references may help you to go further steps in this area.

⭐This is an excellent monograph. The authors have provided an up-to-date analysis of parametric and nonparametric methods with a comprehensive bibliography. The book is very readible. The authors combine elements of descriptive overview, nontrivial examples and theorems / proofs.

⭐The book I wanted was in edtion of 2005, and I saw the book was in this version in the review. But when I got it, it was 2003’a edtion!!!!! So sad !!!!!!!:(

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