This text investigates the application of statistical modeling techniques to solve complex engineering problems. Buxton provides a structured framework for engineers to interpret data, quantify uncertainty, and validate experimental results. The book utilizes standard mathematical principles to bridge the gap between theoretical probability and practical engineering design.

Experts identify this as a technical resource for undergraduate and graduate engineering students. Readers frequently note the mathematical density of the prose and the focus on applied problem-solving.