Description
Experimental Design for Data Science and Engineering provides a thorough exploration of statistical experimental design methods tailored for contemporary data science and engineering challenges. The book bridges classical statistical theory with modern applications, offering practitioners and students a practical toolkit for designing efficient experiments.
Authored by V. Roshan Joseph, this Chapman & Hall publication covers fundamental concepts including factorial designs, response surface methodology, and optimal design strategies. The text emphasizes real-world applications relevant to data scientists and engineers who need to make evidence-based decisions through well-designed experiments.
Part of the Chapman & Hall/CRC Texts in Statistical Science series, this book serves as both a reference guide and educational resource, combining theoretical foundations with practical examples to help readers understand how to plan, execute, and analyze experiments effectively.
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