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I.A. Ibragimov – författare

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4 produkter

  1. I.A. Ibragimov, Y.A. Rozanov - Gaussian Random Processes, Inbunden. Tillgänglighet: Lägg i varukorg

    Gaussian Random Processes

    Av I.A. Ibragimov, Y.A. Rozanov

    Inbunden, 1978

    1316 kr

    Lägg i varukorg

    The book deals mainly with three problems involving Gaussian stationary processes. The first problem consists of clarifying the conditions for mutual absolute continuity (equivalence) of probability distributions of a "random process segment" and of finding effective formulas for densities of the …

  2. Y.A. Rozanov, I.A. Ibragimov - Gaussian Random Processes, E-bok. Tillgänglighet: Lägg i varukorg

    Gaussian Random Processes

    Av Y.A. Rozanov, I.A. Ibragimov

    E-bok, 2012

    734 kr

    Lägg i varukorg

    The book deals mainly with three problems involving Gaussian stationary processes. The first problem consists of clarifying the conditions for mutual absolute continuity (equivalence) of probability distributions of a "random process segment" and of finding effective formulas for densities of the …

  3. I.A. Ibragimov, Y.A. Rozanov - Gaussian Random Processes, Häftad. Tillgänglighet: Lägg i varukorg

    Gaussian Random Processes

    Av I.A. Ibragimov, Y.A. Rozanov

    Häftad, 2011

    552 kr

    Lägg i varukorg

    The book deals mainly with three problems involving Gaussian stationary processes. The first problem consists of clarifying the conditions for mutual absolute continuity (equivalence) of probability distributions of a "random process segment" and of finding effective formulas for densities of the …

  4. R.Z. Has'minskii, I.A. Ibragimov - Statistical Estimation, E-bok. Tillgänglighet: Lägg i varukorg

    Statistical Estimation

    Asymptotic Theory

    Av R.Z. Has'minskii, I.A. Ibragimov

    E-bok, 2013

    1108 kr

    Lägg i varukorg

    when certain parameters in the problem tend to limiting values (for example, when the sample size increases indefinitely, the intensity of the noise ap­ proaches zero, etc.) To address the problem of asymptotically optimal estimators consider the following important case. Let X 1, X 2, ... , X n be …