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Ann. Inst. H. Poincar´e Probab. Statist. 20(4), 309–327 (1984) 5. : On weak convergence of the likelihood ratio process in multi-phase regression models. Statist. Probab. Lett. 78(14), 2066–2074 (2008) 6. : The Theory of Stochastic Processes I. Springer, New York (1974) 7. : Computation of the efficiency of the maximum-likelihood estimator when observing a discontinuous signal in white noise. Probl. Inform. Transm. 15(3), 61–69 (1979) 4 On Gaussian Compound Poisson Type Limiting LR Process 39 8.

D I F /. In a similar way, the correlation curve [14] summarizes the degree of interdependence of the components of F . The D–D plot is another graphical display for pairwise comparison of observed versus theoretical depth distribution, and it can be used for informal inferences, similarly to a Q–Q plot. The reader is referred to [9] for a comprehensive coverage of the methodology. A more recent development is functional depth [10] which opens new perspectives in applications involving infinite dimensional distributions.

Stat. Theory Method 13(13), 1613–33 (1984) 2. : A distribution free plotting position. Stoch. Environ. Res. Risk Assess. 15(6), 462–476 (2001). 1007/s004770100083 3. : Bringing closure to the plotting position controversy. Comm. Stat. Theory Method 37, 460–467 (2008a) 4. : Problems in the extreme value analysis. Struct. Saf. 30(5), 405–419 (2008b). 001 5. : Statistics of Extremes. Columbia University Press, New York (1958) 6. : A statistical theory of strength of materials. Ing Vet Ak Handl (Stockholm) 151, 45 (1939) 7.

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