2021/10/20 by Bhupendra Singh, Singh, Bhupendra, Varun Agiwal +5
Decision Sciences · Engineering · Mathematics · #60E05 #62F10 #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Probabilistic and Robust Engineering Design #Statistical Distribution Estimation and Applications #Statistics Theory (math.ST) #Water Systems and Optimization
paper · pdf · doi:10.48550/arxiv.2110.10443
openalex publication_date 2021/10/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this article, a discrete analogue of continuous Teissier distribution is presented. Its several important distributional characteristics have been derived. The estimation of the unknown parameter has been done using the method of maximum likelihood and the method of moment. Two real data applications have been presented to show the applicability of the proposed model.