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.
Mechanical Reliability Improvement - Probability and Statistics for Experimental Testing Marcel
β Scribed by Robert Little
- Publisher
- CRC Press
- Year
- 2002
- Tongue
- English
- Leaves
- 595
- Series
- Mechanical Engineering
- 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 AnalysisFundamentals......Page 11
2. Planned Experiment Test Programswith Orthogonal ConceptualStatistical Models......Page 39
3. Basic Probability and StatisticsConcepts and Their MechanicalReliability Applications......Page 94
4. The Classical StatisticalPresumption of NormallyDistributed Experiment TestProgram Datum Values......Page 161
5. The Conceptual (Two-Parameter)Normal Distribution and theAssociated Conceptual SamplingDistributions for Pearsonβs Central2 (Chi Square), Snedecorβs CentralF, and Studentβs Central t TestStatistics......Page 186
6. Statistical Analysis of Variance(ANOVA)......Page 241
7. Linear Regression Analysis......Page 318
8. Mechanical ReliabilityFundamentals and ExampleAnalyses......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
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.