Rank-based tests for autoregressive against bilinear serial dependence
Authors:
Youssef Benghabrit a;
Marc Hallin -
ab
| Affiliations: | a Ecole Mohammadia d'Ing nieurs Rabat, Morocco |
b Institut de Statistique and D partement de Math matique, Universit Libre de Bruxelles Brussels, Belgium |
DOI:
10.1080/10485259608832674
Publication Frequency:
8 issues per year
Subjects:
Mathematical Economics;
Mathematical Finance;
Medical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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Abstract
Opumal (signed and unsigned) rank-based procedures are derived for the problem of testing autoregiessive AR(l) dependence, with unspecified autoregressive parameter and innovation density, against firstorder diagonal bilinear dependence, The proposed test statistics rely on rank-based versions of the residual spectrum and bispectrum. The resulting tests are asymptotically invariant, hence asymptotically distribution-free, and locally asymptotically most powerful. Their local asymptotic powers and asymptotic relative efficiencies with respect to the Gaussian Lagrange multiplier procedure of Saikkonen and Luukkonen (1988) are provided explicitly.
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| Keywords: time series; bilinear model; bispectrum; test of linearity; rank test; aligned ranks |
| AMS 1980 Subject classification: 62M10; 62G10; 62F05 |
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nieurs Rabat, Morocco
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