activity
20182026
most citedOn a bimodal Birnbaum-Saunders distribution with applications to lifetime data

9 citations · 24 across the 54 of their papers we have counts for

collaborators

56 papers

math.ST2026

Exact finite-sample bias, variance, and MSE of normalized scale-invariant inequality indices under Gamma mixture models

Roberto Vila, Felipe Quintino

We study the finite-sample properties of estimators of a broad class of normalized scale-invariant inequality indices (NSIIs) under finite Gamma mixture models. The class includes…

math.ST2026

Characterizations of independence between order statistics and rank indicators

Roberto Vila, Frederico Almeida

We study the independence between an order statistic and its corresponding rank indicator for independent nonnegative random variables. A general characterization is established th…

math.ST2026

Conditional copula representations and extremal bounds for multivariate statistical functionals

Roberto Vila, Cira E G Otiniano, Carolyne Brito +1

In this paper, we derive a conditional copula representation for expectations of the form , where is a random vector with arbitrary…

stat.ME2026

Income inequality estimation with gamma mixtures

Roberto Vila, Helton Saulo, Felipe Quintino

This paper studies the estimation of the th Gini index under finite mixtures of gamma distributions. We derive closed-form expressions for the th Gini index and for the expec…

stat.ME2026

Unbiased estimation of normalized scale-invariant indices under the Gamma distribution

Roberto Vila, Helton Saulo, Felipe Quintino

We introduce a broad class of normalized scale-invariant indices (NSIIs) generated by measurable symmetric homogeneous functions and encompassing several well-known measures, inclu…

stat.ME2026

Length-biased Birnbaum-Saunders quantile regression with application to water evaporation

Helton Saulo, Tailine Nonato, Roberto Vila

Length-biased distributions arise naturally in environmental, reliability, and economic studies where the sampling mechanism favors larger observational units. In this paper, we pr…

stat.CO2026

Quantile autoregressive moving average models for ratio-based bounded time series

Helton Saulo, Roberto Vila, Filidor Vilca

This paper proposes the quantile unit-log-symmetric autoregressive moving average (QULS--ARMA) model for bounded time series on the open unit interval . The model extends th…

stat.ME2026

The arithmetic-harmonic inequality index: Theory, inference, and finite-sample analysis

Roberto Vila, Helton Saulo

We investigate the arithmetic-harmonic inequality (AHI) index, a bounded and scale-invariant measure of dispersion for positive random variables, defined through the interplay betw…

stat.ME2026

Unifying the Hoover and Gini indices: Analytical, bias, and computational aspects

Roberto Vila, Helton Saulo, Felipe Quintino

We propose a new family of inequality indices that bridges the Hoover index and the Gini coefficient. The measure is defined as the normalized expected absolute value of a convex c…

stat.ME2026

Modeling double bounded data based on correlated gamma random variables

Roberto Vila, Felipe Quintino, Marcelo Bourguignon

Many types of bounded data defined on the unit interval arise naturally as ratios of the form . In the existing literature, the main statistical models proposed for this…

stat.ME2026

On the bias of the Hoover index estimator: Results for the gamma distribution

Roberto Vila, Helton Saulo

The Hoover index is a widely used measure of inequality with an intuitive interpretation, yet little is known about the finite-sample properties of its empirical estimator. In this…

math.ST2026

Bias analysis of a linear order-statistic inequality index estimator: Unbiasedness under gamma populations

Roberto Vila, Helton Saulo

This paper studies a class of rank-based inequality measures built from linear combinations of expected order statistics. The proposed framework unifies several well-known indices,…

stat.ME2025

On the bias of the Gini estimator: Poisson and geometric cases, a characterization of the gamma family, and unbiasedness under gamma distributions

Roberto Vila, Helton Saulo

In this paper, we derive a general representation for the expectation of the Gini coefficient estimator in terms of the Laplace transform of the underlying distribution, together w…

stat.ME2025

Closed-form parameter estimation for the bivariate gamma distribution: New approaches

Roberto Vila, Helton Saulo

We propose new closed-form estimators for the parameters of McKay's bivariate gamma distribution by exploiting monotone transformations of the likelihood equations. As a special ca…

stat.ME2025

A transformed-score approach to closed-form and one-step efficient estimation for the beta distribution

Roberto Vila, Helton Saulo, Felipe Quintino +1

Power transformations of beta random variables produce unbiased estimating equations from transformed-model likelihood scores. This construction clarifies the connection between mo…

stat.ME2025

Two Tunable Gini-Type Measures with U-Statistic Estimation: Theory, Simulation, and an Empirical Application to GDP per Capita in the Americas

Roberto Vila, Helton Saulo

We introduce two families of inequality measures, and , that converge to the classical Gini coefficient as . The tuning parameters and regulate…

stat.ME2025

On classes of distributions on the unit interval: structural properties and application to inequality data

Roberto Vila, Helton Saulo, Poliana Matos +1

Probability distributions defined on the unit interval are widely used in fields ranging from econometrics to reliability studies. Traditional models such as the beta and Kumaraswa…

stat.ME2025

Bias in estimating Theil, Atkinson, and dispersion indices for gamma mixture populations

Jackson Assis, Roberto Vila, Helton Saulo

This paper examines the finite-sample bias of estimators for the Theil and Atkinson indices, as well as for the variance-to-mean ratio (VMR), under the assumption that the populati…

stat.ME2025

Unbiased estimation in new Gini index extensions under gamma distributions, with application to real income data

Roberto Vila, Helton Saulo

In this paper, we introduce two flexible extensions of the classical Gini index, referred to as the extended lower and upper Gini indices. The proposed measures are based on the di…

stat.ME2025

Closed-form solutions for parameter estimation in exponential families based on maximum a posteriori equations

Roberto Vila, Helton Saulo, Eduardo Nakano

In this paper, we derive closed-form estimators for the parameters of certain exponential family distributions through the maximum a posteriori (MAP) equations. A Monte Carlo simul…

stat.ME2025

An unbiased estimator of a novel extended Gini index for gamma distributed populations

Roberto Vila, Helton Saulo

In this paper, we introduce a novel flexible Gini index, referred to as the extended Gini index, which is defined through ordered differences between the th and th order stat…

stat.ME2025

The th Gini index estimator: Unbiasedness for gamma populations

Roberto Vila, Helton Saulo

This paper establishes the theoretical result that the sample th Gini index is an unbiased estimator of the population th Gini index, introduced by Gavilan-Ruiz (2024), for g…

stat.ME2025

Closed-form formulas for the biases of the Theil and Atkinson index estimators in Gamma distributed populations

Roberto Vila, Helton Saulo

This paper presents an analysis of the Theil and Atkinson index estimators for gamma populations, highlighting the presence of bias in both cases. Theoretical expressions for the b…

stat.ME2025

On the bias of the Gini coefficient estimator for zero-truncated Poisson distributions

Roberto Vila, Helton Saulo

This paper analyzes the Gini coefficient estimator for zero-truncated Poisson populations, revealing the presence of bias, and provides a mathematical expression for the bias, alon…