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Statistics & Probability Letters

10 та иш

Журнал · ISSN 0167-7152

  1. On joint probability distribution of the number of vertices and area of the convex hulls generated by a Poisson point process

    Sh. K. Formanov, Isakjan Khamdamov

    МақолаPoint processes and geometric inequalitiesStatistics & Probability Letters20203 иқтибос
    ABI

  2. The best constant in the Rosenthal inequality for nonnegative random variables

    Rustam Ibragimov, Sh. Sharakhmetov

    МақолаProbability and Risk ModelsStatistics & Probability Letters20011 иқтибос
    ABI

  3. Marcinkiewicz–Zygmund strong laws for -statistics of weakly dependent observations

    Herold Dehling, Olimjon Sh. Sharipov

    МақолаProbability and Risk ModelsStatistics & Probability Letters20091 иқтибос
    ABI

  4. Estimation of the variance of partial sums of dependent processes

    Herold Dehling, Roland Fried, Olimjon Sh. Sharipov +2

    МақолаStatistical Methods and InferenceStatistics & Probability Letters20121 иқтибос
    ABI

  5. Optimal constants in the Rosenthal inequality for random variables with zero odd moments

    Marat Ibragimov, Rustam Ibragimov

    МақолаProbability and Risk ModelsStatistics & Probability Letters20070 иқтибос
    ABI

  6. Normal limits, nonnormal limits, and the bootstrap for quantiles of dependent data

    Olimjon Sh. Sharipov, Martin Wendler

    МақолаStatistical Methods and InferenceStatistics & Probability Letters20120 иқтибос
    ABI

  7. On non-linear dependence of multivariate subordinated Lévy processes

    Elvira Di Nardo, Marina Marena, Patrizia Semeraro

    ПрепринтFinancial Risk and Volatility ModelingStatistics & Probability Letters20200 иқтибос
    ABI

  8. Asymptotic properties of goodness of fit tests based on higher order overlapping spacings

    Sherzod M. Mirakhmedov

    МақолаAdvanced Statistical Methods and ModelsStatistics & Probability Letters20250 иқтибос
    ABI

  9. Strong law of large numbers for random walks in weakly dependent random scenery

    Sadillo Sharipov

    МақолаStochastic processes and statistical mechanicsStatistics & Probability Letters20250 иқтибос
    ABI

  10. Central limit theorem and invariance principle for triangular arrays of weakly dependent random variables with values in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si4.svg" display="inline" id="d1e22"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>L</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>p</mml:mi> </mml:mrow> </mml:msub> <mml:mrow> <mml:mo>[</mml:mo> <mml:mn>0</mml:mn> <mml:mo>,</mml:mo> <mml:mn>1</mml:mn> <mml:mo>]</mml:mo> </mml:mrow> </mml:mrow> </mml:math>

    Ibrohim Muxtorov, O Sharipov

    МақолаProbability and Risk ModelsStatistics & Probability Letters20260 иқтибос
    ABI