Engineering

Appropriate for a one-semester advanced undergraduate or a graduate level course in reliability engineering.

An elementary introduction to the probabilistic models and statistical methods used by reliability engineers as applied to, for example, electrical or mechanical systems. Leemis offers explanations of how the mathematical models and results apply to engineering design and the analysis of lifetime data sets, with simple, supplementary proofs and derivations provided when necessary.

• eases students' difficulty in differentiating between probabilistic models and statistical methods by clearly separating coverage of each topic.

• offers many examples and exercises that have closed-form answers for the sake of brevity and simplicity, but assures students that this will not always be the case when performing a reliability analysis.

• keeps parameterizations consistent throughout, but exposes students to these differences by parameterizing the exponential distribution by its failure rate in Chapters 4 and 8, and by its mean in Chapter 7.

• covers models, methods, and data sets that apply equally well to all three areas of application—actuarial science, biostatistics, and reliability engineering.

• keeps number of data sets used in the text to a minimum to insure that students do not get the techniques and the data sets confused.

 1. Introduction.


 2. Coherent Systems Analysis.


 3. Lifetime Distributions.


 4. Parametric Lifetime Models.


 5. Specialized Models.


 6. Repairable Systems.


 7. Lifetime Data Analysis.


 8. Parametric Estimation for Models without Covariates.


 9. Parametric Estimation for Models with Covariates.


10. Nonparametric Methods and Model Adequacy.

Reliability Engineering (Industrial Engineering)
Reliability Engineering [CORE TEXTS] (Mechanical & Aerospace Engineering)

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Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students contact your Pearson Higher Education representative.