Mathematical and Statistical Methods for Actuarial Sciences and Finance

(Nora) #1

152 C. Franceschini and N. Loperfido



  1. Genton, M.G., He, L., Liu, X.: Moments of skew-normal random vectors and their quadratic
    forms. Stat. Prob. Lett. 51, 319–235 (2001)

  2. Kollo, T., von Rosen, D.: Advanced Multivariate Statistics with Matrices. Springer, Dor-
    drecht, The Netherlands (2005)

  3. Lehmann, E.L., Romano, J.P.: Testing Statistical Hypotheses. Springer, New York (2005)

  4. Loperfido, N.: Quadratic forms of skew-normal random vectors. Stat. Prob. Lett. 54,
    381–387 (2001)

  5. McDonald, J.B.: Probability distributions for financial models. In: Maddala, G.S., Rao,
    C.R. (eds.) Handbook of Statistics: Statistical Methods in Finance. Amsterdam, Elsevier
    Science 14, (1996)

  6. Rydberg, T.H.: Realistic statistical modelling of financial data. Int. Stat. Rev. 68,233–258
    (2000)

  7. Serfling, R.J. Multivariate symmetry and asymmetry. In: Kotz, S., Read, C.B., Balakrish-
    nan, N., Vidakovic, B. (eds.) Encyclopedia of Statistical Sciences, 2ndedition. Wiley, New
    York (2006)

  8. Zuo,Y., Serfling, R.: On the performance of some robust nonparametric location measures
    relative to a general notion of multivariate simmetry. J. Stat. Planning Inference 84, 55–79
    (2000)

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