Okay, here is the translation following your instructions: Experimental Design and Data Processing

Author: Li Yunyan Hu Chuanrong
Publisher:
Publish Date: 2005-03-01
Features: This book combines numerous examples to introduce the practical applications of common experimental design and data processing methods in scientific experiments and industrial production, and highlights the powerful functions of Excel in experimental data processing. The book is divided into 10 chapters, with the first four chapters covering error analysis, graphing, variance, and regression analysis of experimental data. Chapters 5 to 9 introduce optimal design, orthogonal design, uniform design, regression orthogonal design, and formulation experimental design methods. The 10th chapter focuses on the application of Excel in data analysis and calculations. The book is rich in information, illustrated with graphics, and filled with practical examples. It emphasizes the connection between theory and practice, striving for clarity, focus, and a well-structured approach, making it suitable for self-study. This book can serve as a teaching text for senior undergraduate or graduate students in related fields such as chemical engineering, food science, pharmaceuticals, biology, materials, light industry, environmental science, and agriculture/forestry. It is also a valuable reference for engineers, researchers, and teachers.
This book combines numerous examples to introduce the practical applications of common experimental design and data processing methods in scientific experiments and industrial production, and highlights the powerful functions of Excel in experimental data processing. The book is divided into 10 chapters, with the first four chapters covering error analysis, graphing, variance, and regression analysis of experimental data. Chapters 5 to 9 introduce optimal design, orthogonal design, uniform design, regression orthogonal design, and formulation experimental design methods. The 10th chapter focuses on the application of Excel in data analysis and calculations. The book is rich in information, illustrated with graphics, and filled with practical examples. It emphasizes the connection between theory and practice, striving for clarity, focus, and a well-structured approach, making it suitable for self-study. This book can serve as a teaching text for senior undergraduate or graduate students in related fields such as chemical engineering, food science, pharmaceuticals, biology, materials, light industry, environmental science, and agriculture/forestry. It is also a valuable reference for engineers, researchers, and teachers.