Bakouch, Hassan S.Hassan S.BakouchSalinas, Hugo S.Hugo S.SalinasMamode Khan, NaushadNaushadMamode KhanChesneau, ChristopheChristopheChesneau2026-10-092026-10-092021-07Bakouch, Hassan S.; Salinas, Hugo S.; Mamode Khan, Naushad; Chesneau, Christophe (2021-07). A new family of skewed distributions with application to some daily closing prices. Computational and Mathematical Methods, 3(4), e1154. https://doi.org/10.1002/cmm4.11542577-7408https://hdl.handle.net/20.500.12740/25151In this article, we introduce a new general family of skewed distributions obtained through the use of a weighted skewed technique. This technique has the feature to unify two classical skewness techniques. Also, it is based on a clear stochastic representation involving a tuning weight function. General moments results are given. Subsequently, we focus our attention on a special case called asymmetric bimodal normal distribution. We investigate the maximum likelihood estimation of the parameters for this new distribution, with a complete numerical study. The developed model and method of inference are applied to some daily closing prices of some popular stocks.http://purl.org/coar/access_right/c_14cbdata analysismathematical modelsmaximum likelihood estimationskewed distributionArticulohttps://doi.org/10.1002/cmm4.1154