Time Series Analysis and Its Applications

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· Springer Science & Business Media
2.0
1 review
Ebook
551
Pages

About this ebook

The goals of this book are to develop an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing data, and still maintain a commitment to theoretical integrity, as exemplified by the seminal works of Brillinger (1981) and Hannan (1970) and the texts by Brockwell and Davis (1991) and Fuller (1995). The advent of more powerful computing, es pecially in the last three years, has provided both real data and new software that can take one considerably beyond the fitting of·simple time domain mod els, such as have been elegantly described in the landmark work of Box and Jenkins (1970). The present book is designed to be useful as a text for courses in time series on several different levels and as a reference work for practition ers facing the analysis of time-correlated data in the physical, biological, and social sciences. We believe the book will be useful as a text at both the undergraduate and graduate levels. An undergraduate course can be accessible to students with a background in regression analysis and might include Sections 1. 1-1. 8, 2. 1-2. 9, and 3. 1-3. 8. Similar courses have been taught at the University of California (Berkeley and Davis) in the past using the earlier book on applied time series analysis by Shumway (1988). Such a course is taken by undergraduate students in mathematics, economics, and statistics and attracts graduate students from the agricultural, biological, and environmental sciences.

Ratings and reviews

2.0
1 review
Alberto “Deep Blue” GR
March 25, 2020
This is the FIRST EDITION and you can buy the SECOND or even the FOURTH one with a more "computational approach" than this old edition. + Side: Real Life Examples Simplified statistical description of some of the most complex concepts. - Side: Hard to follow visuals and text (had to keep scrolling back) Data examples were not easy to follow and some of them impossible to replicate (no random seed provided for some of the white noise data). : Overall Wouldn't recommend this book (get a more recent version) unless you are after this particular edition.
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