Ebook New Introduction to Multiple Time Series Analysis, by Helmut Lütkepohl
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New Introduction to Multiple Time Series Analysis, by Helmut Lütkepohl
Ebook New Introduction to Multiple Time Series Analysis, by Helmut Lütkepohl
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Product details
Paperback: 764 pages
Publisher: Springer; 2006. Corr. 2nd edition (October 4, 2007)
Language: English
ISBN-10: 3540262393
ISBN-13: 978-3540262398
Product Dimensions:
6.1 x 1.8 x 9.2 inches
Shipping Weight: 3 pounds (View shipping rates and policies)
Average Customer Review:
4.9 out of 5 stars
14 customer reviews
Amazon Best Sellers Rank:
#562,657 in Books (See Top 100 in Books)
Very well-written and well-structured, this is a must IMO for anyone who is serious about time series analysis.
This book provides a fairly elementary view of the vast subject of time series analysis. It easy to read and the author provides lots of basic calculations. Typically, such books stay away from the cutting edge topics but not this one. It is quite complete. I highly recommend it to anyone that knows a few basic things about time series and wants to take it much further.
I love this book - it provides an excellent introduction to the core of multiple time series. I especially like the discussions on cointegration and granger causality, which have proven to be extremely useful in practice. I would recommend it to anyone.
It's a great book! It is as simple as it could be, and very complete at the same time, so it is great. I am a PhD student and I strongly recommend this book for people interested in VAR and VEC models...
With a lot of demonstration and simples examples!!! Well written and complete! Recomended for every one who's study time series.
I think "New introduction to multiple time series analysis" is not an introduction level book. You must have a high level inference knowledge. Beyond this, you must be familiar with a high level knowhow in algebra and a very good level of a calculus course. Some numerical methods are explored in the book too. Essentialy it deals with multiple time series models. If you are a beginer on the subject an introductory course in univariate time series will be strongly needed.
It's a great compilation of principal techniques of multiple time series models and inference. In addtion a very useful matrix properties and formulas list in appendix.
great
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