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Alya Mega Permana

January 27, 2024

I recently had the opportunity to dive into "Mathematical Methods of Statistical Quality Control ; Probability and Mathematical Statistics" and I must say it's a comprehensive resource for those looking to delve into the mathematical underpinnings of statistical quality control. The author presents complex concepts in a clear, concise manner, making it accessible to readers with a solid background in mathematics and statistics. I particularly appreciated the numerous examples and exercises that illustrate key points and encourage critical thinking. While some sections may feel dense or overly technical for those without a strong mathematical foundation, overall this book serves as an excellent reference for students, researchers, and professionals seeking to develop a deeper understanding of statistical quality control methods.

Mega Gunawan

July 17, 2022

I just finished reading "Mathematical Methods of Statistical Quality Control; Probability and Mathematical Statistics" and I have to say, it was a decent but not outstanding read. The book provided a comprehensive introduction to statistical quality control, covering topics such as probability theory, mathematical statistics, and statistical process control. However, the writing style was dry at times, making it feel more like a textbook than an engaging novel. The author's attempt to balance theoretical foundations with practical applications was appreciated, but some chapters felt overly technical and heavy on formulas, which made them difficult to follow for those without a strong mathematical background. Overall, I would recommend this book to students or professionals looking for a detailed reference on statistical quality control, but it might not be the best choice for someone seeking an introductory or general overview of the subject.

Bachtiar Dian Permana

June 29, 2021

I just finished reading this book on mathematical methods of statistical quality control, focusing on probability and mathematical statistics. I must say it's a fantastic resource for anyone looking to dive deep into the theoretical foundations of statistical quality control. The author has presented complex concepts in a clear and concise manner, making it easy for readers with a background in engineering or physics to grasp the material. The inclusion of real-world examples and case studies further enhances the learning experience, illustrating how these mathematical methods can be applied in practice. Overall, I'm thoroughly impressed with this book's ability to strike a balance between theoretical rigor and practical relevance, making it an indispensable resource for anyone working in quality control or related fields.