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20082026
most citedAn asymptotically normal test for the selective neutrality hypothesis

4 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Some homogeneity test statistics for DNA evolutionary models

Tatiana B. Bordin, Hildete P. Pinheiro, Aluísio Pinheiro

We present a test statistic for the comparison of DNA sequences under some of the most popular evolutionary processes available in the literature. Theoretical properties for the te…

stat.ME2018

A nonparametric approach to assess undergraduate performance

Hildete P. Pinheiro, Pranab K. Sen, Aluísio Pinheiro +1

Nonparametric methodologies are proposed to assess college students' performance. Emphasis is given to gender and sector of High School. The application concerns the University of…

stat.ME2018★ 1 cited

On wavelets to select the parametric form of a regression model

Eufrásio de A. Lima Neto, Aluísio de S. Pinheiro, Adenice G. O. Ferreira

Let Y be a response variable related with a set of explanatory variables and let f1, f2, ..., fk be a set of the parametric forms representing a set of candidate's model. Let f* be…

stat.ME2018

Wavelet estimation of the dimensionality of curve time series

Rodney V. Fonseca, Aluísio Pinheiro

Functional data analysis is ubiquitous in most areas of sciences and engineering. Several paradigms are proposed to deal with the dimensionality problem which is inherent to this t…

stat.ME2015★ 1 cited

Wavelet Functional Data Analysis for FANOVA Models under Dependent Errors

Airton Kist, Aluisio Pinheiro

We extend the wavelet tests for fixed effects FANOVA models with iid errors, proposed in Abramovich et al, 2004 to FANOVA models with dependent errors and provide an iterative Coch…

math.ST2008★ 4 cited

An asymptotically normal test for the selective neutrality hypothesis

Aluísio Pinheiro, Hildete P. Pinheiro, Samara Kiihl

An important parameter in the study of population evolution is , where is the effective population size and is the rate of mutation per locus per generation. Therefo…