Nguồn ngoài

Process Improvement using Data

There is no other free, coherent text that covers what engineers and scientists actually do with process data (visualization, regression, designed experiments, process monitoring, and multivariate / latent-variable methods) in one volume. Most textbooks pick one of those topics and go deep. Practitioners need all of them, and need to see how they fit together, because real industrial problems don't respect chapter boundaries. Process Improvement using Data was written to fill that gap, and has been continuously refined in industry-facing classrooms and in industrial practice since 2010. It is suitable for upper-undergraduate or introductory-graduate courses, and for self-study by working engineers and data scientists with a basic statistics background.

Tác giả

Kevin Dunn

Nhà xuất bản

Kevin Dunn

Năm

2026

Nguồn

Open Textbook Library

Giấy phép

CC BY-SA

Ngôn ngữ

EN

Danh mục

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