{
"item_title" : "Nonlinear Time Series",
"item_author" : [" Jianqing Fan", "Qiwei Yao "],
"item_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.",
"item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/38/726/142/0387261427_b.jpg",
"price_data" : {
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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9780387261423
- ISBN-10: 0387261427
- Publisher: Springer
- Publish Date: August 2005
- Dimensions: 9.21 x 6.14 x 1.17 inches
- Shipping Weight: 1.75 pounds
- Page Count: 552
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