Abstract
In this paper, a deterioration hazard model is presented to forecast the expected life length of the facilities and equipments on the highways. The main focus of the paper is to present a methodology to conquer the estimation bias issues caused by incompleteness of the data set that a part of the information regarding the life length is missing. The incompleteness of the data structure is different in response to the difference of the monitoring schemes. It is necessary to develop the estimation methodology of the deterioration hazard models considering the incomplete availability of life length date of the observed samples. The applicability of the methodology presented in this paper is examined against the real world data concerning the facilities and equipments on the highways.
