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A K-S type test of linearity for a class of time series models

A K-S type test of linearity for a class of time series models
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摘要 1 Theorems Consider the following nonlinear autoregressive modelx<sub>t</sub>=φx<sub>t-1</sub>+ε<sub>t</sub>h(x<sub>t-1</sub>θ) (1)with the assumptions:(A1)│φ│【1,θ=(θ<sub>0</sub>,θ<sub>1</sub>)∈ is an open set in R<sup>2</sup>,(A2) {ε<sub>t</sub>} is a sequenee of independent identically distributed random variables suchthatEε<sub>t</sub>=0, Eε<sub>t</sub><sup>2</sup>=1, E│ε<sub>t</sub>│<sup>4+δ</sup>【∞,for some δ】0, (2)and ε<sub>t</sub> is independent of x<sub>t-1</sub>, (A3) h(·) is an everywhere positive measurable function satisfying that as│x │→∞,h(x)→∞, h(x)/│x│→0, and for each C】0, sup h(x)【∞,
作者 陈敏 安鸿志
出处 《Chinese Science Bulletin》 SCIE EI CAS 1996年第11期881-886,共6页
基金 Project supported by the National Natural Science Foundation of China and Probability Laboratory, Institute of Applied Mathematics, Chinese Academy of Sciences.
关键词 NONLINEAR TIME SERIES model LINEARITY testing. nonlinear time series model linearity testing
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