Douglas C. Montgomery Books

Focusing on product and process design improvement, this book offers a thorough introduction to optimizing quality and performance through experimental techniques. It covers essential concepts and skills, facilitating mastery of methods like factorial design, response surface techniques, and regression analysis. With detailed discussions on biochemistry, biotechnology, and single factor experiments, it provides practical guidance for navigating the complexities of experimental design and analysis in real-world applications.

The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business, and statistics-as well as informative ways to help readers design and analyze experiments for improving the quality, efficiency and performance of working systems.

Focusing on practical applications in engineering, this book emphasizes probability and statistical methods relevant to students' future careers. It features a wealth of examples and problem sets that mirror real-world engineering challenges. Key topics include the bootstrap method, p-value usage, equivalence testing, and combining p-values. The content is thoroughly vetted for accuracy, ensuring students gain a solid understanding of statistical techniques applied in engineering contexts.

Focusing on modern statistical methods, this book highlights the evolution of quality control from engineering to a critical business function aimed at enhancing productivity and competitive edge. It covers statistical process control (SPC) and the Six Sigma DMAIC framework, offering a strategic approach to problem-solving applicable in various fields. The text balances traditional and contemporary techniques, making it suitable for students in engineering, statistics, and business, while providing ample practice problems and real-world examples for effective learning.

"This book contains the complete solutions to the first eight chapters and the odd-numbered problems for chapters nine through fifteen in Introduction to Linear Regression Analysis, Sixth Edition. The solutions were obtained using Minitab®, JMP®, and SAS® .The purpose of the solutions manual is to provide students with a reference to check their answers and to show the complete solution. Students are advised to try to work out the problems on their own before appealing to the solutions manual"-- Provided by publisher

Market_Desc: Engineers and Students and Instructors of Engineering. Special Features: · Problems, examples, and exercises have all been thoroughly updated to reflect today's engineering realities.· Examples and exercises are drawn from more diverse fields such as bioengineering, environmental sciences, and computer science.· Interactive e-Text format includes data sets, select worked-out solutions, enlarged figures, and multiple links between glossary terms and text sections for quick and easy reference. About The Book: This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It's packed with unique problem sets that reflect realistic situations engineers encounter in their working lives.