Mechanical Reliability Improvement: Probability and Statistics for Experimental Testing
β Scribed by Shahid M. Hussain, J.L. Gollan, R.C. Semelka
- Publisher
- CRC Press, Marcel Dekker
- Year
- 2002
- Tongue
- English
- Leaves
- 595
- Series
- Mechanical Engineering (v. 148
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Emphasizes test specimen allocation, statistical adequacy of failure models, accuracy of statistical estimates, and checking equipment and economic components for effective and appropriate testing schemes and digital simulations.
β¦ Table of Contents
Preface......Page 6
1. Experiment Test Program Planningand Statistical Analysis Fundamentals......Page 11
2. Planned Experiment Test Programs with Orthogonal Conceptual Statistical Models......Page 39
3. Basic Probability and Statistics Concepts and Their Mechanical Reliability Applications......Page 94
4. The Classical Statistical Presumption of Normally Distributed Experiment Test Program Datum Values......Page 161
5. The Conceptual (Two-Parameter) Normal Distribution and the Associated Conceptual Sampling Distributions for Pearsonβs Central2 (Chi Square), Snedecorβs Central F, and Studentβs Central t Test Statistics......Page 186
6. Statistical Analysis of Variance (ANOVA)......Page 241
7. Linear Regression Analysis......Page 318
8. Mechanical Reliability Fundamentals and Example Analyses......Page 397
References......Page 589
Index......Page 591
π SIMILAR VOLUMES
Marcell Dekker, CRC Press. 2003. 595 p. β ISBN: 0-8247-0812-<br/>1. β Mechanical Engineering, Volume 148.<div class="bb-sep"></div>This book discusses centroid and moment of inertia analogies for mean and variance and the organization structure of completely randomized, randomized complete block, an
Emphasizes test specimen allocation, statistical adequacy of failure models, accuracy of statistical estimates, and checking equipment and economic components for effective and appropriate testing schemes and digital simulations.
Front Cover; Contents; Preface; Acknowledgments; Authors; Chapter 1 -- Introduction; Chapter 2 -- Data Description and Treatment; Chapter 3 -- Fundamentals of Probability; Chapter 4 -- Probability Distributions for Discrete Random Variables; Chapter 5 -- Probability Distributions for Continuous Rand
IntroductionIntroduction Knowledge, Information, and Opinions Ignorance and Uncertainty Aleatory and Epistemic Uncertainties in System Abstraction Characterizing and Modeling Uncertainty Simulation for Uncertainty Analysis and Propagation Simulation Projects Data Description and TreatmentIntroductio
This is the most complete reliability book that I have seen. It is appropriate as both a textbook and a reference. It is well-written and easy to understand. I highly recommend this book for anybody interested in learning reliability theory.