biopsy
发表于 2025-3-23 13:04:13
Kerry Patterson Is this discussion not dislocated in time and space, that is, a regression in relation to the modernity that one desires to overcome? Could it be that the U.S. publishers were suggesting something more adequate to the present time when they used . as the title of the North American version.
单纯
发表于 2025-3-23 16:18:00
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悬崖
发表于 2025-3-23 19:18:27
Introduction to Random Walks and Brownian Motion,stribution. In the simplest version of this process the random variable has two equally likely outcomes resulting in a symmetric binomial random walk. The idea is simple enough and the terminology is due to a problem posed by Pearson (see Hughes, 1995, p.53), although the concept dates from much ear
Kernel
发表于 2025-3-23 22:59:11
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终止
发表于 2025-3-24 02:20:53
An Introduction to ARMA Models, only of interest in their own right, they serve to provide a background to interpret many of the issues arising in the context of unit roots and integrated time series. The ‘ARMA’ notation indicates that there are two components to the structure of these models. The first part is the autoregressive
暗讽
发表于 2025-3-24 10:14:47
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SPER
发表于 2025-3-24 10:46:55
Confidence Intervals in AR models,nts in an AR(p) model have a finite sample bias. In response, and addressing the solution as obtaining an estimator with better . bias, four methods of bias adjustment were considered; these were first-order bias correction, linear bias correction, recursive mean adjustment and bootstrap bias correc
bypass
发表于 2025-3-24 17:57:39
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细微差别
发表于 2025-3-24 21:13:35
Improving the Power of Unit Root Tests,to be considered is the application of generalised least squares (GLS), which leads to two distinct formulations of the problem of unit root testing. The first is perhaps the more natural application that follows from noting that if the errors in a regression model are dependent, a standard solution
浮雕宝石
发表于 2025-3-24 23:24:41
Bootstrap Unit Root Tests,to Hansen (1999), was outlined as a means of constructing a confidence interval in a situation where the underlying quantiles are not constant. This chapter picks up the bootstrap theme as it applies specifically to unit root testing.