A New Detection Function Model for Distance Sampling Based on the Burr XII Model

One of the most used techniques for determining animal abundance is distance sampling. The sampling framework depends on idea a detection function, and number options have been suggested. In this paper, we provide new flexible parametric model based Burr XII distribution. To be more specific, use survival function distribution novel purposes in context. proposed appealing because it meets all requirements reliable model, such as being monotonically decreasing having shoulder at origin. It also has features various asymmetric properties heavy right tail, which are rare setting. first part, its key characteristics, shapes moments. Then, inferential aspect investigated. maximum likelihood estimation method to estimate parameters data-fitting scenario. estimates population derived compared with some existing estimates. A simulation run assess how well resulting perform comparison other widely applied from literature. then tested using two real-world data sets. Based famous goodness-of-fit statistics, show that preferable well-established models.