Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well-chosen clicks of a mouse. However, software documentation has had difficulty keeping up with the enhanced functionality added to new releases, especially in specialized areas such as reliability analysis.
Using analysis capabilities in spreadsheet software and two well-maintained, supported, and frequently updated, popular software packages - Minitab and SAS JMP - the third edition of Applied Reliability is an easy-to-use guide to basic descriptive statistics, reliability concepts, and the properties of lifetime distributions such as the exponential, Weibull, and lognormal. The material covers reliability data plotting, acceleration models, life test data analysis, systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded, updated coverage of repairable system modeling.
Taking a practical and example-oriented approach to reliability analysis, this book provides detailed illustrations of software implementation throughout and more than 150 worked-out examples done with JMP, Minitab, and several spreadsheet programs. In addition, there are nearly 300 figures, hundreds of exercises, and additional problems at the end of each chapter, and new material throughout.
Chapter 1 : Basic Descriptive Statistics
Chapter 2 : Reliability Concepts
Chapter 3 : Exponential Distribution
Chapter 4 : Weibull Distribution
Chapter 5 : The Normal and Lognormal Distributions
Chapter 6 : Reliability Data Plotting
Chapter 7 : Analysis of Multicensored Data
Chapter 8 : Physical Acceleration Models
Chapter 9 : Alternative Reliability Models
Chapter 10 : System Failure Modeling : Bottom-Up Approach
Chapter 11 : Quality Control in Reliability : Applications of Discrete Distributions
Chapter 12 : Repairable Systems Part I : Nonparametric Analysis and Renewal Processes
Chapter 13 : Repairable Systems Part II : Nonrenewal Processes
Chapter 14 : Bayesian Reliability Evaluation
Answers to Selected Exercises
References
Index
