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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.
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