Pham H. (ed.) Springer Handbook of Engineering Statistics

Springer, 2023. — 1138 p.Preface
About the Editor
International Advisory Board
International Editorial Board
Contributors
Fundamental Statistics and Its Applications
Basic Statistics
Generalized Statistical Distributions
Statistics for Reliability Modeling
Functional Data Analysis
Symmetric Geometric Skew Normal Regression Model
Statistical Analysis of Modern Reliability Data
Mathematical Reliability Aspects of Multivariate Probability Distributions
Introduction to Stochastic Processes
Progressive Censoring Methodology
Warranty Policies: Analysis and Perspectives
Process Monitoring and Improvement
Statistical Methods for Quality and Productivity Improvement
Chain Sampling
Six Sigma
Statistical Models for Monitoring the High-Quality Processes
Statistical Management and Modeling for Demand Spare Parts
D-Efficient Mixed-Level Foldover Designs for Screening Experiments
Censored Data Prediction Based on Model Selection Approaches
Monitoring Coefficient of Variation Using CUSUM Control Charts
Change-Point-Based Statistical Process Controls
Reliability Models and Survival Analysis
Reliability Characteristics and Optimization of Warm Standby Systems
Importance and Sensitivity Analysis on Complex Repairable Systems and Imprecise System Reliability
Hardware and Software Reliability, Verification, and Testing
OSS Reliability Analysis and Project Effort Estimation Based on Computational Intelligence
Vulnerability Discovery Analysis in Software Reliability and Related Optimization Problems
Software Reliability Modeling and Prediction
Statistical Maintenance Modeling
Continuous-Time Predictive Maintenance Modeling with Dynamic Decision Framework
Stochastic Redundant Replacement Maintenance Models
Advanced Statistical Methods and Modeling
Confidence Distribution and Distribution Estimation for Modern Statistical Inference
Logistic Regression Tree Analysis
Detecting Outliers and Influential and Sensitive Observations in Linear Regression
Statistical Methodologies for Analyzing Genomic Data
Genetic Algorithms and Their Applications
Deterministic and Stochastic DCA for DC Programming
Inference for Coherent Systems with Weibull Components Under a Simple Step-Stress Model
Bivariate Distributions with Singular Components
Bayesian Models
Statistical Computing and Data Mining
Data Mining Methods and Applications
Statistical Methods for Tensor Data Analysis
Random Forests for Survival Analysis and High-Dimensional Data
Probability Inequalities for High-Dimensional Time Series Under a Triangular Array Framework
Statistical Machine Learning
Covariance Estimation via the Modified Cholesky Decomposition
Statistical Learning
Bayesian Survival Analysis in the Presence of Monotone Likelihoods
Multivariate Modeling with Copulas and Engineering Applications
Applications in Engineering Statistics
Environmental Risks Analysis Using Satellite Data
Probabilistic Models for Reliability Analysis Using Safe-Life and Damage Tolerance Methods
Application of Cognitive Architecture in Multi-Agent Financial Decision Support Systems
Reliability of Electronic Packaging
Accelerated Life Testing
Accelerated Life Testing Data Analyses for One-Shot Devices
Tangent Space Approximation in Geometric Statistics
Statistical Modeling of Discrete Choices for Human Behaviors
Weighted Voting Systems
Image Registration, Rigid Bodies, and Unknown Coordinate Systems
Index