Normal-Power-Logistic Distribution: Properties and Application in Generalized Linear Model

The applications of Normal distribution in literature are verse, the new modified univariate normal power is a which adequate for modelling bimodal data. There many data that would have been modelled by distribution, but because their bimodality, they not, since unimodal. In this paper, extension linear model called normal-Power generalized model, derived from T-Power $$\lbrace$$ Logistic $$\rbrace$$ framework presented. statistical properties and proposed were such as quantiles, median, mode, robust skewness, kurtosis moment. maximum likelihood estimation method was considered to obtain unknown parameters. Three real sets analyzed demonstrate flexibility usefulness model. be very useful alternative cases where skewed or response variables, not well fitted with