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On a Test Statistic for Linear Trend
Authors:JMP Albin  D Jaru?ková
Institution:(1) Department of Mathematics, Chalmers, University of Technology, SE-412 Göteborg, Sweden;(2) Department of Mathematics, Faculty of Civil Engineering, Czech Technical University, Thákurova 7, CZ-166 29 Praha 6, Czech Republic
Abstract:Let {W(s)} s ge 0 be a standard Wiener process. The supremum of the squared Euclidian norm nvdashY (t)nvdash2, of the R2-valued process Y(t)=(radic1/t W(t), radic {12/t 3 int0 t s dW (s)–radic {3/t} W(t)), t isin agr, 1], is the asymptotic, large sample distribution, of a test statistic for a change point detection problem, of appearance of linear trend. We determine the asymptotic behavior P {sup t isin agr, 1] nvdashY(t)radic2 > u as u rarr infin, of this statistic, for a fixed agr isin (0,1), and for a ldquomovingrdquo agr=agr (u) darr 0 at a suitable rate as u rarr infin. The statistical interest of our results lie in their use as approximate test levels.
Keywords:change point detection  chi2-process" target="_blank">gif" alt="chi" align="MIDDLE" BORDER="0">2-process  extremes  Gaussian process  linear trend  Ornstein–  Uhlenbeck process  test of linear trend
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