Landslide is one of the natural hazards that occurs in mountainous regions. Landslide changes the

morphology of region and results in damages on buildings, roads, agricultural land and etc, therefore

making it an important consideration in hazard mitigation planning by researchers and research institutes.

In this study landslide hazard map produced using bivariate statistical model in Ilam dam basin. This

model was included of three methods, density area, value information and weights of evidence modelling.

The results of evaluation of this bivariate statistical model using landslide index, precision of the

predicted results and density ratio show that the density ratio method was more efficient for evaluation of

model than the others. Therefore this method has been recognized for assessment of the model efficiently.

Based on results of density ratio method, density area, weights of evidence modelling and information

value were the most accurate in separability of hazardous landslides classes. The separability index of

hazardous class in density area, weights of evidence modelling and information value were 2.6, 1.7 and

1.12, respectively.