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Description:
Textbook in PDF format
Preface
Mathematical Foundations of Intelligent Fatigue Statistics
Basic Knowledge of Probability Theory
Random Variable Functions and Moment Generating Functions
Several Commonly Used Distributions
Basic Knowledge of Statistics
Computer Basics of Intelligent Statistical Fatigue
Application of Excel in Probability Statistics
Introduction to Python
Some Applications of Intelligent Fatigue Statistics
Estimation of Population Parameters
Zhentong Gao Method
Several Commonly Used Testing Methods
Application of Digital-Experiments to the Study of Weibull Distribution
Epilogue: Perspectives on Intelligent Fatigue Statistics
Postscript
Appendix A: Python Code for Calculating Confidence Interval Curve of Weibull Distribution
Appendix B: Python Code of Digital Experiment of Weibull Distribution Parameters
Appendix C: Python Code for Evaluating Weibull Distribution Parameters and Confidence intervals by the Bootstrap
Index