371 research outputs found

    Limiting distributions for explosive PAR(1) time series with strongly mixing innovation

    Full text link
    This work deals with the limiting distribution of the least squares estimators of the coefficients a r of an explosive periodic autoregressive of order 1 (PAR(1)) time series X r = a r X r--1 +u r when the innovation {u k } is strongly mixing. More precisely {a r } is a periodic sequence of real numbers with period P \textgreater{} 0 and such that P r=1 |a r | \textgreater{} 1. The time series {u r } is periodically distributed with the same period P and satisfies the strong mixing property, so the random variables u r can be correlated

    Software Reliability Modelling and Identification

    No full text
    contributions by S. Bittanti, P. Bolzern, C. Ghezzi, B. Littlewood, A. Morzenti, J. Musa, M. Pezzé, E. Pedrotti, M. Pozzi, R. Scattolin

    Count Riccati and the Early Days of the Riccati Equation

    No full text
    contributions by S. BITTANTI, L. EULER, J. LIOUVILLE, J. F. RICCAT

    Model Identification and Data Analysis

    No full text
    • …
    corecore