By Stefano Cabras (auth.), Nicola Torelli, Fortunato Pesarin, Avner Bar-Hen (eds.)
This quantity contains contributions chosen after a double blind assessment method and provided as a initial model on the forty fifth assembly of the Italian Statistical Society. The papers supply major and cutting edge unique contributions and canopy a huge diversity of subject matters together with: statistical thought; tools for time sequence and spatial information; statistical modeling and information research; survey method and reliable statistics; research of social, demographic and health and wellbeing information; and financial facts and econometrics.
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Additional info for Advances in Theoretical and Applied Statistics
3. Â C 2 uI F / for any p-vector u and 0 Ä 1 < 2 . 4. xI F / D 0. M. Romanazzi ( ) C. it N. Torelli et al. 1007/978-3-642-35588-2 2, © Springer-Verlag Berlin Heidelberg 2013 13 14 M. Romanazzi and C. Agostinelli The main result of data depth is a ranking of the points with respect to F which describes the degree of centrality of x, highest values corresponding to the center of the distribution, lowest values corresponding to the tails. Several depth-based functionals summarizing the features of F have been suggested.
Handbook of Brownian motion—facts and formulae. Probability and Its Applications. Birkh¨auser Verlag, Basel (2002) 2. : On parameter estimation of threshold autoregressive models. Stat. Inference Stoch. Process. 15(1), 81–104 (2012) 3. : On limiting likelihood ratio processes of some change-point type statistical models. J. Stat. Plann. Inference 140(9), 2682–2692 (2010) 4. : Lois asymptotiques des tests et estimateurs de rupture dans un mod`ele statistique classique. Ann. Inst. H. Poincar´e Probab.
Oxford University Press, Oxford (2000) 27. : Extreme Values in Finance, Telecommunications and the Environment. Chapman and Hall/CRC Press, London (2003) 28. : Statistical Extremes and Applications. Reidel, Dordrecht (1984) 29. : On the implementation of local probability matching priors for interest parameters. Biometrika 92, 47–57 (2005) 30. : Noninformative priors for one parameter of many. Biometrika 76, 604–608 (1989) 31. : Prior distributions from pseudo-likelihoods in the presence of nuisance parameters.