A REGRESSION MODEL FOR POSITIVE DATA BASED ON THE SLASHED HALF-NORMAL DISTRIBUTION

Gomez, Yolanda M.Yolanda M.GomezGallardo, Diego, IDiego, IGallardoDe Castro, MarioMarioDe Castro2026-10-092026-10-092021Gomez, Yolanda M.; Gallardo, Diego, I; De Castro, Mario (2021). A REGRESSION MODEL FOR POSITIVE DATA BASED ON THE SLASHED HALF-NORMAL DISTRIBUTION. REVSTAT-STATISTICAL JOURNAL, 19(4), 553-573. https://doi.org/10.57805/revstat.v19i4.3541645-67262183-0371https://hdl.handle.net/20.500.12740/25171In this paper, we discuss several aspects about the slashed half-normal distribution. We reparameterize the model based on the mean and we perform comparisons with well-known regression models for positive data. Maximum likelihood estimation of the parameters is carried out through the expectation-maximization algorithm. Some properties of the estimators and two kinds of residuals are assessed in a simulation study. Two real datasets illustrated the proposed model as well as other three models for the sake of comparison.http://purl.org/coar/access_right/c_abf2EM algorithmgamma distributionhalf-normal distributionslashed distributionA REGRESSION MODEL FOR POSITIVE DATA BASED ON THE SLASHED HALF-NORMAL DISTRIBUTIONArticulohttps://doi.org/10.57805/revstat.v19i4.354