Top 10 Books on Design of Experiments (From Beginner to Advanced)
Why these?
These titles give you a clean ramp from fundamentals → applied factorials/RSM → optimal design. Where possible, I’ve linked to the publisher page (most authoritative), with an Amazon backup when useful.
Design and Analysis of Experiments — Douglas C. Montgomery
The classic engineer’s reference; clear path from basics to factorials, blocking, and RSM.
Publisher (Wiley): https://www.wiley.com/en-us/Design%2Band%2BAnalysis%2Bof%2BExperiments%2C%2B10th%2BEdition-p-9781119492443 Wiley
Backup (Amazon): https://www.amazon.com/Design-Analysis-Experiments-Douglas-Montgomery/dp/1119722101 AmazonStatistics for Experimenters (2nd ed.) — Box, Hunter & Hunter
Strategy-first approach to experimentation; a great companion to Montgomery.
Publisher (Wiley): https://www.wiley.com/en-us/Statistics%2Bfor%2BExperimenters%3A%2BDesign%2C%2BInnovation%2C%2Band%2BDiscovery%2C%2B2nd%2BEdition-p-9780471718130 WileyDOE Simplified (3rd ed.) — Mark J. Anderson & Patrick J. Whitcomb
Approachable, hands-on start to DOE; minimal math, lots of practical tips.
Publisher (Routledge/CRC): https://www.routledge.com/DOE-Simplified-Practical-Tools-for-Effective-Experimentation-Third-Edition/Anderson-Whitcomb/p/book/9781482218947 Routledge
Also at Taylor & Francis: https://www.taylorfrancis.com/books/mono/10.1201/b18479/doe-simplified-mark-anderson-patrick-whitcomb Taylor & FrancisRSM Simplified — Anderson & Whitcomb
Practical intro to Response Surface Methods once you’ve got factorials down.
Publisher (Taylor & Francis): https://www.taylorfrancis.com/books/mono/10.1201/9781315382326/rsm-simplified-mark-anderson-patrick-whitcomb Taylor & FrancisDesign and Analysis of Experiments with R — John Lawson
If you want to run DOE in R with clear, worked examples.
Publisher (Routledge/CRC): https://www.routledge.com/Design-and-Analysis-of-Experiments-with-R/Lawson/p/book/9781439868133 RoutledgeDesign and Analysis of Experiments (2nd ed.) — Angela Dean, Daniel Voss, Danel Draguljić
Textbook depth; adds screening, mixed models, and computer experiments.
Publisher (Springer): https://link.springer.com/book/10.1007/978-3-319-52250-0 SpringerLinkOptimal Design of Experiments: A Case Study Approach — Peter Goos & Bradley Jones
Modern optimal/space-filling design via case studies; great for advanced work.
Publisher (Wiley): https://onlinelibrary.wiley.com/doi/book/10.1002/9781119974017 Wiley Online LibraryResponse Surface Methodology (4th ed.) — Myers, Montgomery, Anderson-Cook
The RSM reference if you’re optimizing processes/products at scale.
Publisher (Wiley): https://www.wiley.com/en-us/Response%2BSurface%2BMethodology%3A%2BProcess%2Band%2BProduct%2BOptimization%2BUsing%2BDesigned%2BExperiments%2C%2B4th%2BEdition-p-9781118916018 WileyExperimental Design for the Life Sciences (4th ed.) — Graeme D. Ruxton & Nick Colegrave
A gentle, applied on-ramp tailored to life-science experiments.
Publisher (OUP Academic): https://global.oup.com/academic/product/experimental-design-for-the-life-sciences-9780198717355 Oxford University Press
Backup (Amazon): https://www.amazon.com/Experimental-Design-Sciences-Graeme-Ruxton/dp/0198717350 AmazonDesign of Experiments: A Modern Approach — Bradley Jones & Douglas C. Montgomery
Recent text emphasizing design optimization and practical constructions.
Publisher (Wiley): https://www.wiley.com/en-us/Design%2Bof%2BExperiments%3A%2BA%2BModern%2BApproach%2C%2B1st%2BEdition-p-9781119611196 Wiley
Backup (Amazon): https://www.amazon.com/Design-Experiments-Approach-Bradley-Jones/dp/1119746019 Amazon
Quick picks
Total beginner: DOE Simplified (Anderson & Whitcomb). Routledge+1
Engineer’s core text: Design and Analysis of Experiments (Montgomery). Wiley
Software-driven learning: Design and Analysis with R (Lawson). Routledge
Advanced/optimal designs: Goos & Jones + RSM (4th ed.). Wiley Online Library+1