Marcus Hellwig Book order

The book explores the unique dynamics of COVID-19 infections, emphasizing that the virus continuously evolves and presents new variants. It highlights the importance of preventive infection management through statistical-probabilistic analyses, particularly using the PSIR model. This approach aims to enhance resource and infrastructure planning in anticipation of future waves of infection, underscoring the necessity of adapting strategies in response to the virus's changing nature.

Exploring advanced statistical methods, this book presents a probabilistic prognosis model that utilizes the mean n-day logarithm of historical case numbers to establish a probability density exponent. It also introduces the particle emission concept, which is based on contact and distribution rates. This concept enhances the exponent of probable outcomes, allowing for the formation of groups based on predictive analytics. The book combines mathematical theory with practical applications in forecasting, making it a valuable resource for understanding complex data trends.

Focusing on the assessment of earthquake risk, this book explores the relationship between probability theory and extreme processes, specifically in the context of the Richter scale. It challenges conventional perspectives by analyzing the complete dataset of earthquake magnitudes, ranging from 0 to the observed maximum. Through examples from earthquake observation sciences, the text provides a comprehensive understanding of damage probability and occurrence, offering valuable insights for researchers and practitioners in the field.