ARMA Model Identification is popular PDF and ePub book, written by ByoungSeon Choi in 2012-12-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, ARMA Model Identification can be Read Online from any device for your convenience.
ARMA Model Identification Book PDF Summary
During the last two decades, considerable progress has been made in statistical time series analysis. The aim of this book is to present a survey of one of the most active areas in this field: the identification of autoregressive moving-average models, i.e., determining their orders. Readers are assumed to have already taken one course on time series analysis as might be offered in a graduate course, but otherwise this account is self-contained. The main topics covered include: Box-Jenkins' method, inverse autocorrelation functions, penalty function identification such as AIC, BIC techniques and Hannan and Quinn's method, instrumental regression, and a range of pattern identification methods. Rather than cover all the methods in detail, the emphasis is on exploring the fundamental ideas underlying them. Extensive references are given to the research literature and as a result, all those engaged in research in this subject will find this an invaluable aid to their work.
Detail Book of ARMA Model Identification PDF
- Author : ByoungSeon Choi
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461397458
- Genre : Mathematics
- Total Page : 211 pages
- Language : English
- PDF File Size : 11,7 Mb
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