In the complex world of shipping, where every decision can have significant financial implications, understanding statistical models is essential for optimizing operations and managing risks. Two critical models that have emerged in this context are the Poisson distribution and jump diffusion models.
This article explores these concepts in detail, examining their applications in the shipping industry, particularly in tanker operations, and how they can enhance decision-making processes.
Keep reading with a 7-day free trial
Subscribe to Trader's nectar to keep reading this post and get 7 days of free access to the full post archives.