Arnold, Barry C.Barry C.ArnoldGomez, Hector W.Hector W.GomezOlivares-Pacheco, Juan F.Juan F.Olivares-Pacheco2025-12-302025-12-3020141029-4910https://hdl.handle.net/20.500.12740/23754Attention is focussed on a truncated version of the extended two-piece skew-normal distribution, studied by Arnold et al. [On multiple constraint skewed models. Statistics. 2009;3(3):279-293]. When the truncation point is set equal to zero, the resulting model can be viewed as a flexible extension of the half-normal model. Properties of the truncated distribution are investigated and corresponding likelihood inference is considered. The methodology is applied to data set involving non-negative observations and it is verified that the fit of the truncated model compares favourably with that of the half-normal.Acceso Abiertotruncationmaximum likelihoodhalf-normalextended two-piece skew-normalmultiple constraintsMultiple constraint and truncated skew modelshttp://dx.doi.org/10.1080/02331888.2013.801479