5.3.2Grouped Data Case
5.3.3Alternately Censored Data Case
5.4 Parameter Estimation Methods
5.4.1Graphical Method
5.4.2 Method of Moments
5.4.3 Maximum Likelihood Method
5.4.4 Least Square Method
5.4.5 Expectation- Maximum Method
5.5 Hypothesis Testing
5.5.1 Chi Square Test
5.5.2Kolmogorov- Smirnov Test
5.6 Model Selection
5.6.1 Likelihood Ratio Test
5.6.2 Information Criterion
References876 Reliability Modeling of Repairable Systems
6.1 Introduction
6.2 Failure Counting Process Models
6.2.1 Renewal Process
6.2.2 Homogeneous Poisson Process
6.2.3 Nonhomogeneous Poisson Process
6.2.4 Empirical Mean Cumulative Function
6.3 Distribution Models for Modeling Failure Processes
6.3.10rdinary Life Distribution Models
6.3.2 Imperfect Maintenance Models
6.3.3Variable- Parameter Distribution Models
6.4A Procedure for Modeling Failure Processes
6.4.1An Illustration
6.4.2 Modeling Procedure
6.5 Tests for Stationarity
6.5.1Graphical Methods
6.5.2 Tests with H P P Null Hypothesis
6.5.3 Tests with R P Null Hypothesis
6.5.4 Performances of Trend Tests
6.6 Tests for Randomness
6.6.1 Runs Above and Below Median Test
6.6.2 Sign Test
6.6.3 Runs Up and Down
6.6.4 Mann-Kendall Test
6.6.5 Spearman Test
6.6.6 Discussion
6.7 Tests for Normality and ConstantVariance
6.7.1 Tests for Normality
6.7.2 Tests for ConstantVariance
References
Part ⅡProduct Quality and Reliability in Pre-manufacturing Phase
7 Product Design and DesignforX
7.1 Introduction
7.2 Product Design and Relevant Issues
7.2.1 Product Design
7.2.2Key Issues
7.2.3 Time- Based Product Design
7.2.4 Design for Life Cycle
7.2.5 DesignforX11573 Design for Several Overall Performances
7.3.1 Design for Safety
7.3.2 Design for Environment
7.3.3 Design forQuality
7.3.4 Design for Reliability
7.3.5 Design for Testability
7.4 Design for Production- Related Performances
……PartⅢ Product Quality and Rdliability in Manufacturing Phase
PartⅣ Product Quality and Rdliability in Post-manufacturing Phase

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