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20092020
most citedAsymptotics of Randomly Weighted u- and v-statistics: Application to Bootstrap

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

math.ST2020

A Consistent Estimator for Skewness of Partial Sums of Dependent Data

Masoud M Nasari, Mohamedou Ould-Haye

We introduce an estimation method for the scaled skewness coefficient of the sample mean of short and long memory linear processes. This method can be extended to estimate higher m…

stat.ME2019

Confidence intervals with higher accuracy for short and long memory linear processes

Masoud M Nasari, Mohamedou Ould-Haye

In this paper an easy to implement method of stochastically weighing short and long memory linear processes is introduced. The method renders asymptotically exact size confidence i…

stat.ME2016

Pivotal Quantities with Arbitrary Small Skewness

Masoud M Nasari

In this paper we present randomization methods to enhance the accuracy of the central limit theorem (CLT) based inferences about the population mean . We introduce a broad class…

math.ST20122 cited

Asymptotics of Randomly Weighted u- and v-statistics: Application to Bootstrap

Miklos Csorgo, Masoud M. Nasari

This paper is mainly concerned with asymptotic studies of weighted bootstrap for u- and v-statistics. We derive the consistency of the weighted bootstrap u- and v-statistics, based…

math.PR2009

Studentized Processes of U-statistics

Masoud M. Nasari

A uniform in probability approximation is established for Studentized processes of non degenerate U-statistics of order m greater or equal to 2 in terms of a standard Wiener proces…

math.PR2009

On weak approximation of U-statistics

Masoud M. Nasari

This paper investigates weak convergence of U-statistics via approximation in probability. The classical condition that the second moment of the kernel of the underlying U-statisti…