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Mechanical Reliability Improvement: Probability and Statistics for Experimental Testing

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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.

Author(s): Shahid M. Hussain, J.L. Gollan, R.C. Semelka
Series: Mechanical Engineering (v. 148
Publisher: CRC Press, Marcel Dekker
Year: 2002

Language: English
Pages: 595

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 Pearson’s Central2 (Chi Square), Snedecor’s Central F, and Student’s 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