activity
20082021
most citedThe asymptotically optimal estimating equation for longitudinal data. Strong Consistency

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

math.ST2021★ 1 cited

Variable selection for longitudinal survey data

Laura Dumitrescu, Wei Qian, J. N. K. Rao

In this article we propose a new variable selection method for analyzing data collected from longitudinal sample surveys. The procedure is based on the survey-weighted quadratic in…

math.ST2021

Nonparametric estimation of marginal distributions for unordered pairs

L. Dumitrescu, D. Harcourt

In this article, we consider the estimation of the marginal distributions for pairs of data are recorded, with unobserved order in each pair. New estimators are proposed and their…

math.ST2020

Asymptotic results with estimating equations for time-evolving clustered data

Laura Dumitrescu, Ioana Schiopu-Kratina

We study the existence, strong consistency and asymptotic normality of estimators obtained from estimating functions, that are p-dimensional martingale transforms. The problem is m…

math.ST2018

Asymptotic hypothesis testing for the colour blind problem

Laura Dumitrescu, Estate V. Khmaladze

In the classical two-sample problem, the conventional approach for testing distributions equality is based on the difference between the two marginal empirical distribution functio…

math.ST2017

Strong consistency and optimality for generalized estimating equations with stochastic covariates

Laura Dumitrescu, Ioana Schiopu-Kratina

In this article we study the existence and strong consistency of GEE estimators, when the generalized estimating functions are martingales with random coefficients. Furthermore, we…

math.ST2008★ 1 cited

The asymptotically optimal estimating equation for longitudinal data. Strong Consistency

R. M. Balan, L. Dumitrescu, I. Schiopu-Kratina

In this article, we introduce a conditional marginal model for longitudinal data, in which the residuals form a martingale difference sequence. This model allows us to consider a r…