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Persistent link: https://www.econbiz.de/10005166791
In this paper we present finite T mean and variance correction factors and corresponding response surface regressions for the panel cointegration tests presented in Pedroni (1999, 2004), Westerlund (2005), Larsson et al. (2001), and Breitung (2005). For the single equation tests we consider up...
Persistent link: https://www.econbiz.de/10005026908
The presence of structural breaks reduces the power of integration tests. A number of methods were suggested to improve the statistical properties of integration tests in the presence of structural breaks. The most known are Perron tests, which allow to test for the level of integration of time...
Persistent link: https://www.econbiz.de/10005701481
This paper replicates Cheung and Lai (1995), who use response surface analysis to obtain approximate finite-sample critical values adjusted for lag order and sample size for the augmented Dickey-Fuller test. We obtain results that are quite close to their results. We provide the Ox source code....
Persistent link: https://www.econbiz.de/10011107256
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This article reviews so-called screening in simulation; i.e., it examines the search for the really important factors in experiments with simulation models that have very many factors (or inputs). The article focuses on a most efficient and effec- tive screening method, namely Sequential...
Persistent link: https://www.econbiz.de/10011090683
formulas contrasting Kriging and classic linear regression metamodels. Furthermore, it extends Kriging to random simulation …
Persistent link: https://www.econbiz.de/10011092363
This expository paper discusses the relationships among metamodels, simulation models, and problem entities. A … and validating a metamodel. Metamodels may have different goals: (i) understanding, (ii) prediction, (iii) optimization …. Metamodels in general are covered, along with a procedure for developing linear regression (including polynomial) metamodels. …
Persistent link: https://www.econbiz.de/10011092434
Global and mid-range approximation concepts are used in engineering optimisation in those cases were the commonly used local approximations are not available or applicable. In this paper the response surface method is discussed as a method to build both global and mid-range approximations of the...
Persistent link: https://www.econbiz.de/10010759387