An extension of the three-parameter triangular distribution utilized in risk analysis is discussed. Special cases of the resulting N-parameter family include the triangular and TSP distributions. Maximum likelihood estimation of its three-parameter by using sample data is discussed. Finally, by using theorem, posterior distribution is identified by the assumption that its parameters are independent random variables.
