Handbook of Probabilistic Models

Handbook of Probabilistic Models, 1st Edition, examines the practical implementation of advanced probabilistic models across traditional engineering disciplines and emerging technical fields. The handbook outlines foundational technical concepts and scientific approaches needed to resolve complex engineering problems.

The volume presents an interdisciplinary modeling framework that bridges civil, mechanical, electrical, and computer engineering with earth sciences, climate studies, agriculture, and water resources. It introduces core computational methodologies, such as Monte Carlo simulation, to support problem solving across diverse operational domains.

Designed for practitioners, researchers, and scientific professionals, this reference provides practical guidance for civil, environmental, chemical, mechanical, agricultural, and industrial engineers as well as environmental scientists.