5 citations · 10 across the 8 of their papers we have counts for
10 papers
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…
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…
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…
Inference from Small and Big Data Sets with Error Rates
Miklos Csorgo, Masoud M Nasari
In this paper we introduce randomized -type statistics that will be referred to as randomized pivots. We show that these randomized pivots yield central limit theorems with a si…
Randomized pivots for means of short and long memory linear processes
Miklos Csorgo, Masoud M Nasari, Mohamedou Ould-Haye
In this paper we introduce randomized pivots for the means of short and long memory linear processes. We show that, under the same conditions, these pivots converge in distribution…
Bootstrapped Pivots for Sample and Population Means and Distribution Functions
Miklos Csorgo, Masoud M Nasari
In this paper we introduce the concept of bootstrapped pivots for the sample and the population means. This is in contrast to the classical method of constructing bootstrapped conf…