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Titlebook: Unit Root Tests in Time Series Volume 1; Key Concepts and Pro Kerry Patterson Book 2011 Palgrave Macmillan, a division of Macmillan Publish

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發(fā)表于 2025-3-21 18:33:14 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Unit Root Tests in Time Series Volume 1
副標(biāo)題Key Concepts and Pro
編輯Kerry Patterson
視頻videohttp://file.papertrans.cn/943/942104/942104.mp4
叢書名稱Palgrave Texts in Econometrics
圖書封面Titlebook: Unit Root Tests in Time Series Volume 1; Key Concepts and Pro Kerry Patterson Book 2011 Palgrave Macmillan, a division of Macmillan Publish
描述Testing for a unit root is now an essential part of time series analysis. This?volume provides a critical overview and assessment of tests for a unit root in time series, developing the concepts necessary to understand the key theoretical and practical models in unit root testing.
出版日期Book 2011
關(guān)鍵詞random variable; time series; time series analysis; unit roots
版次1
doihttps://doi.org/10.1057/9780230299306
isbn_ebook978-0-230-29930-6Series ISSN 2662-6594 Series E-ISSN 2662-6608
issn_series 2662-6594
copyrightPalgrave Macmillan, a division of Macmillan Publishers Limited 2011
The information of publication is updating

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沙發(fā)
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板凳
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Testing for Two (or More) Unit Roots,produce a smooth time series; in contrast, a series generated by a single unit root, which involves a single summation of shocks, is less smooth, although generally smoother than an I(0) series; the limiting case of the latter being the ‘spiky’ pattern produced by a white noise series.
地板
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Kerry Pattersonltuous events that have occurred during the 104th Congress? As this chapter shall illustrate, the schools-of-thought policy preferences of leading decision-makers have exhibited quite a remarkable constancy as the Balkan crisis culminated in the Dayton Accord of November 1995.
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Why Distinguish Between Trend Stationary and Difference Stationary Processes?,trended series such as population than with more erratic series such as the prices of financial assets. Deviations from the trend are then viewed as transitory, the trend being the attractor to which the series reverts given sufficient time for adjustment. This, of course, is the trend stationary view of the generation of time series.
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發(fā)表于 2025-3-23 03:35:00 | 只看該作者
An Introduction to ARMA Models,f interest in this chapter is where one of the roots of the AR polynomial might be a unit root whilst the others are outside the unit circle. The case of two unit roots is considered in Chapter 11 and the roots of a polynomial are considered extensively in Appendix 2.
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