Category: Statistical Methods and Analytics Review: Statistical analysis of designed experiments is a crucial aspect of scientific research, especially when it comes to testing hypotheses and making predictions. This category contains several books that provide comprehensive guidance on how to design and analyze experiments effectively. One such book is "Statistical Analysis of Designed Experiments" by Toutenburg, which provides an in-depth analysis of statistical methods used for designed experiments. The author covers various topics, including experimental design, data collection, data analysis, and interpretation of results. This book is suitable for researchers who want to gain a deep understanding of the principles behind statistical analysis of designed experiments. Another excellent resource in this category is "Practical Data Analysis for Designed Experiments" by Yandell. This book provides practical guidance on how to design, collect and analyze data from experiments. The author covers various topics such as experimental design, sampling techniques, data collection methods, statistical analysis, and interpretation of results. This book is suitable for researchers who want a hands-on approach to statistical analysis of designed experiments. "Practical Data Analysis for Designed Experiments" by Chapman & Hall/CRC Texts in Statistical Science Book 39 is another excellent resource that provides practical guidance on how to design and analyze experiments effectively. The author covers various topics such as experimental design, data collection methods, statistical analysis, and interpretation of results. This book is suitable for researchers who want a comprehensive guide to statistical analysis of designed experiments. "Response Surface Methodology: Process and Product Optimization Using Designed Experiments" by Wiley Series in Probability and Statistics provides an excellent resource on how to optimize processes and products using designed experiments. The author covers various topics such as experimental design, data collection methods, statistical analysis, and interpretation of results. This book is suitable for researchers who want to gain a deep understanding of response surface methodology and its application in process and product optimization. "Statistical Analysis of Designed Experiments" by Tamhane provides an excellent resource on how to design and analyze experiments effectively. The author covers various topics such as experimental design, data collection methods, statistical analysis, and interpretation of results. This book is suitable for researchers who want a comprehensive guide to statistical analysis of designed experiments. In conclusion, this category contains several books that provide comprehensive guidance on how to design and analyze experiments effectively. These books are suitable for researchers in various fields such as engineering, biology, chemistry, and social sciences. The authors cover various topics such as experimental design, data collection methods, statistical analysis, and interpretation of results.