Title
Statistical Methods For Reliability Data
Processing time: 1-3 days
US Orders Ships in: 3-5 days
International Orders Ships in: 8-12 days
Return Policy: 15-days return on defective items
Payment Option
Amstat News Asked Three Review Editors To Rate Their Top Five Favorite Books In The September 2003 Issue. Statistical Methods For Reliability Data Was Among Those Chosen.Bringing Statistical Methods For Reliability Testing In Line With The Computer Age This Volume Presents Stateoftheart, Computerbased Statistical Methods For Reliability Data Analysis And Test Planning For Industrial Products. Statistical Methods For Reliability Data Updates And Improves Established Techniques As It Demonstrates How To Apply The New Graphical, Numerical, Or Simulationbased Methods To A Broad Range Of Models Encountered In Reliability Data Analysis. It Includes Methods For Planning Reliability Studies And Analyzing Degradation Data, Simulation Methods Used To Complement Largesample Asymptotic Theory, General Likelihoodbased Methods Of Handling Arbitrarily Censored Data And Truncated Data, And More. In This Book, Engineers And Statisticians In Industry And Academia Will Find:A Wealth Of Information And Procedures Developed To Give Products A Competitive Edge Simple Examples Of Data Analysis Computed With The Splus Systemfor Which A Suite Of Functions And Commands Is Available Over The Internet Endofchapter, Realdata Exercise Sets Hundreds Of Computer Graphics Illustrating Data, Results Of Analyses, And Technical Conceptsan Essential Resource For Practitioners Involved In Product Reliability And Design Decisions, Statistical Methods For Reliability Data Is Also An Excellent Textbook For Onthejob Training Courses, And For University Courses On Applied Reliability Data Analysis At The Graduate Level.An Instructor'S Manual Presenting Detailed Solutions To All The Problems In The Book Is Available Upon Requestfrom The Wiley Editorial Department.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the main focus of 'Statistical Methods for Reliability Data'? A: The book primarily focuses on applying state-of-the-art, computer-based statistical methods for reliability data analysis and test planning, making it essential for practitioners in industrial products.
- Q: Who is the author of this book? A: The author of 'Statistical Methods for Reliability Data' is William Q. Meeker.
- Q: What kind of statistical techniques does the book cover? A: The book covers a variety of statistical techniques including graphical, numerical, and simulation-based methods for reliability data analysis, as well as methods for planning reliability studies.
- Q: Is there an instructor's manual available for this book? A: Yes, an Instructor's Manual that presents detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.
- Q: What is the format and page count of the book? A: The book is published in hardcover format and contains 679 pages.
- Q: When was 'Statistical Methods for Reliability Data' published? A: The book was published on January 1, 1998.
- Q: What type of exercises are included in the book? A: The book includes end-of-chapter, real-data exercise sets designed to enhance learning through practical application.
- Q: Can this book be used for university courses? A: Yes, it serves as an excellent textbook for university courses on applied reliability data analysis at the graduate level.
- Q: What category does this book fall under? A: The book falls under the category of Quality Control.
- Q: What condition is the book in? A: The book is listed in 'Very Good' condition.