Ушбу ишга иқтибос қилган ишлар

5 та иш

Иш: Asymptotic independence and limit theorems for positively and negatively dependent random variables

1. Uniform convergence of an estimator of empirical survival function and nuclear estimates of density from stationary sequences of strongly linearly positive quadrant dependent random variables

   Abdurakhman Muhamedov

   МақолаProbability and Risk ModelsAIP conference proceedings20230 иқтибос

   ABIABI:AkademIndex/openalex/2023.article.008073

2. Asymptotical properties of the estimator of two-dimensional distributions from stationary sequences of positively quadrant dependent random variables

   Abdurakhman Muhamedov

   МақолаProbability and Risk ModelsAIP conference proceedings20230 иқтибос

   ABIABI:AkademIndex/openalex/2023.article.008082

3. Strong consistency of density function estimates from stationary sequences of linearly positive quadrant dependent random variables

   Abdurahman Muhamedov

   МақолаProbability and Risk ModelsAIP conference proceedings20230 иқтибос

   ABIABI:AkademIndex/openalex/2023.article.010131

4. Convergence test statistic of kernel estimators of a density function from stationary sequence of strongly linearly positive quadrant dependent random variables

   Abdurakhman Muhamedov

   МақолаProbability and Risk ModelsAIP conference proceedings20240 иқтибос

   ABIABI:AkademIndex/openalex/2024.article.005088

5. Moment Inequality, Central Limit Theorem, and the Invariance Principle for Linearly Positive Quadrant Dependent Random Fields

   Abdurakhman Mukhamedov

   МақолаProbability and Risk ModelsUkrainian Mathematical Journal20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.009431