Here is the listing of Best reference books on Engineering Statistics.
|1. “Engineering Statistics” by Douglas C. Montgomery, Larry Faris Thomas and George C. Runger|
|2. “Mathematical Statistics with Applications” by Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer
Book Review: This book presents a strong foundation in the field of statistical theory thereby covering the importance of theory in solving many real world problems. The book makes use of many practical applications and contains numerous exercises that deal with the nature of statistics and determines its role in scientific research. The book contains chapters on graphical methods, numerical methods, probability and interference, binomial and geometric probability distribution, normal, gamma, beta and multivariate probability distributions and many more.
|3. “Mathematical Statistics and Data Analysis” by John A. Rice
Book Review: This book deals with the mathematical statistics course. The book contains numerous topics along with data analysis and practices most of the concepts of statistics with the help of computer. The author basically focuses on the data analysis, examines real problems with real data and encourages theoretical concepts. The book also contains statistical information, graphical displays and many realistic applications.
|4. “Statistical Inference” by Roger Berger, and George Casella
Book Review: This book demonstrates the building of theory of statistics with the help of first principles of probability theory. The author makes use of techniques, definitions and statistical concepts in order to develop statistical inference theory. This book is very useful at the graduate level and is useful for students studying statistics and who have a strong mathematical background. The book also stresses on the practical usage of statistical concepts along with the understanding of basic statistical concepts.
|5. “Springer Handbook of Engineering Statistics” by Pham Hoang|
|6. “Modern Engineering Statistics” by Thomas P Ryan|
|7. “Modern Statistical and Mathematical Methods in Reliability” by Wilson Alyson|
|8. “Computational Methods for Reliability and Risk Analysis” by Enrico Zio|
|9. “Life-time Data: Statistical Models And Methods” by Jayant V. Deshpande, Sudha G. Purohit|
|10. “Paperback : Si Version ENGINEERING STATISTICS ” by Runger, Montgomery, Hubele|
Sanfoundry Global Education & Learning Series – Best Reference Books!