Skew-slash distribution and its application in topics regression

In many issues of statistical modeling, the common assumption is that observations are normally distributed. In many real data applications, however, the true distribution is deviated from the normal. Thus, the main concern of most recent studies on analyzing data is to construct and the use of alternative distributions. In this regard, new classes of distributions such as slash and skew-slash family of distributions have been introduced .This has been the main concern of many researcher’s investigations in recent decades. Slash distribution, as a heavy tailed symmetric distribution, is known in robust studies. But since , in empirical examples, there are many situations where symmetric distributions are not suitable for fitting the data study of skew distributions has become of particular importance.In this paper we introduce skew-slash distribution and study their properties. Finally, some applications to several real data sets are illustrated in order to show the importance of the distribution in regression models.