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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书目名称Unit Root Tests in Time Series Volume 1影响因子(影响力)学科排名




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书目名称Unit Root Tests in Time Series Volume 1网络公开度学科排名




书目名称Unit Root Tests in Time Series Volume 1被引频次




书目名称Unit Root Tests in Time Series Volume 1被引频次学科排名




书目名称Unit Root Tests in Time Series Volume 1年度引用




书目名称Unit Root Tests in Time Series Volume 1年度引用学科排名




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书目名称Unit Root Tests in Time Series Volume 1读者反馈学科排名

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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.

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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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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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