Entries in the published Encyclopedia are presented in alphabetic order. The following listing shows articles grouped under the section headings used for editorial planning of the work.
Basic Statistics
Assignable cause
Autocorrelation function
Bias of an estimator
Box and Cox transformation
Coefficient of determination (R2)
Collinearity
Confidence intervals
Correlation
Covariance
Covariate
Cumulative distribution function (CDF)
Data collection
Degrees of freedom
Dependence
Descriptive Statistics
Estimation
Expectation
Exploratory data analysis
Exponentially weighted moving average (EWMA)
Graphical representation of data
Heteroscedasticity
Homogeneity of Variances; Homoscedasticity
Hotelling’s T2
Hypothesis testing
Kurtosis
Lack of fit
Laws of large numbers
Least squares estimation
Leverage
Maximum likelihood
Mean square error
Measures of Association
Measures of Location
Measures of Scale
Missing data and imputation
Moments
Monte Carlo methods
Moving averages
Multi-vari chart
Multivariate analysis
Nonparametric Tests
Normal distribution
Normality Tests
Observational studies
Outliers
Overview of Statistics
Parametric tests
Pareto chart
Pooled variance, pooled estimate
Power
Probability density function (PDF)
Probability density functions
Probability plots
Probability theory
P-values
Quantiles
Quartiles
Residuals
Runs, runs tests
Sample Size Determination
Sigma Metric
Significance level
Six Sigma Method
Skewness
Standard error
Statistical Methods for Counts, Rates and Proportions
Sum of squares
Time series analysis
Transfer function
Trimmed mean
Variables
Variance
Variance components
Computationally Intensive Methods & Simulation
Asymptotic Reliability Analysis of Very Large Systems
Bayesian networks in reliability
Bayesian robustness: theory and computation
Bootstrap And Jacknife: Overview
Classification and Regression Tree Methods
Computational Issues in Network Reliability
Convergence and Mixing in Markov Chain Monte Carlo
Data Mining in Quality and Reliability
decision search via simulation
Density and failure rate estimation
Dirichlet process, Simulation of
Discrete event simulation for reliability prediction
Dynamic ProgrammingMethods in Repair and Replacement
Evaluation techniques in data mining
Expectation Maximisation Algorithm
Failure Modes and Effects Analysis, Implementation of
Fault tree analysis for large systems
Integrating computer and physical experiment data
Laplace approximations in Bayesian lifetime analysis
Levy Processes, Simulation of
Life Distributions, Simulation of
Lifetime Distributions, Optimization Methods for
Markov chain Monte Carlo, Introduction
Monte Carlo Methods: Univariate and Multivariate
Neural networks in Statistical Process Control
Optimal Reliability Design- Algorithms and Comparisons
Optimal Reliability Design- Modelling
Perfect Sampling
Polya Trees and Their Use in Reliability and Survival Analysis
quality control, Computing in
quandrature and numerical integration
Resampling for lifetime distributions
Simulation of the beta-Stacy process
Smoothed Function Estimation for Censored Data
Splines and other meta-models in reliability analysis
Survival Analysis , Nonparametric
Design of Experiments & Robust Design
Aliasing in Fractional Designs
Analysis of Variance
Assessment of Experimental Designs
Bergman-Hynen Method for Dispersion Effects
Blocking
Box-Behnken Designs
Box-Meyer Method for Dispersion Effects
Center Points
Central Composite Designs
Computer Experiments
Dispersion Effects
Factorial Designs, Resolution of
Factorial Experiments
Foldover Designs
Fractional Factorial Designs
Gauge Repeatability and Reproducibility (R&R) Studies
Generalized Linear Models
Half-normal Plot
Harvey's Method for Dispersion Effects
Incomplete Block Designs
Interactions
Latin Hypercube Designs
Latin Squares and Related Experimental Designs
Lenth's Method for the Analysis of Unreplicated Experiments
Main Effect Designs
Main Effects
Minimum Aberration
Mixture Experiments
Optimal Design
Orthogonal Arrays
Performance Measures for Robust Design
Plackett- Burman Designs
Product Array Designs
Projectivity in Experimental Designs
Randomization in Experimental Designs
Response Surface Methodology
Ridge Analysis in Experimental Design
Robust Design
Rotatable Designs and Rotatability
Sample-Size Determination in Experimental Designs
Screening Designs
Sequential Experimentation
Signal Response Systems
Signal-to-Noise Ratios for Robust Design
Split-Plot Designs
Supersaturated Designs
Tolerance Design
Uniform Experimental Designs
Health, Safety & Environmental Applications
Bias in Modeling and Monitoring Health Outcomes
Case Series Analysis, Vaccine Safety Evaluation Using a Suitable Motivating Example.
Case-control Studies
Clinical Behaviour Change
Disease Mapping
Disease Surveillance
Disease and Clinical Trial Modelling
Early Detection Programs in Medical Care
Fisheries Stock Assessment
Health Care Policy and Management of Stroke, Breast Cancer, and Mental Health
Healthcare Performance Reports
Intercalibration Studies
Monitoring of Safety in EU Railways
Multiple Modes in Proficiency Test Data
Patient Opinion Measures
Population Characteristics of Proficiency Test Data
Quality in Critical Care Medicine
Sampling sediments in the Marine Environment
Statistical Issues in Vaccine Safety Evaluation
Statistical Process Control in Clinical Medicine
Management of Quality & Business Statistics
Attractive Quality
Benchmarking in Project Definition
Brainstorming
Cause and Effect Diagrams
Change Management
Concept Selection Matrices
Contingency Table
Contingency Table,Square
Cost of Quality
Creativity tools
Critical-To-Quality matrices
Data and Information Quality
Directed Evolution +B35
Error proofing Healthcare
Factor Relationship Diagrams
Failure Modes and Effects Analysis
Kaizen
Lean Accounting
Lean Methods, Creating Flow with
Multi-vari Charts
Organizational Assessment Models
Policy Deployment Drives Performance Improvement
Process Maps and Statistics
Process Maps: Construction of
Process Reengineering
Project management : Stage Gate Approach to
Quality Function Deployment
Quality Management, Overview
Scorecards
Six Sigma
Statistical Efficiency
Statistical quality control
Target costing
Team building
Theory of constraints
Total Productive maintenance
Total Quality Management (TQM)
Value-stream analysis in Quality Management
Work out
Process Capability & Measurement Systems Analysis
Calibration
Capability Indices for Multiple Stream Processes
Capability Measures for Measurement Systems Analysis
Comparison of Multivariate Process Capability Indices
Control Charts and Process Capability
Cp, Cpk
Defects per Million Opportunities
Defects per Unit
Gauge Repeatability and Reproducibility (R&R) Studies, Confidence Intervals for
Gauge Repeatability and Reproducibility (R&R) Studies, Destructive Testing
Gauge Repeatability and Reproducibility (R&R) Studies, Misclassification Rates
Gauge Repeatability and Reproducibility (R&R), Variance Components in
Interlaboratory Comparisons
Measurement Error and Uncertainty
Measurement Systems Analysis, Attribute
Measurement Systems Analysis, Overview
Pp, Ppk
Process Capability Indices, Alternative to
Process Capability Indices, Bayesian Estimation of
Process Capability Indices, Multivariate
Process Capability Indices, Non-normal
Process Capability Indices, Nonparametric
Process Capability Plots
Process Capability, Error in Estimating of
Process Yield
Sigma Level of a Process
Skewed Process Capability Indices
Statistical Process Control, Multivariate
The Comparison of Process Capability Indices
Yield Surface Modeling
Process Control
ARIMA Modeling
Autocorrelated Data
Average Run Lengths and Operating Characteristic Curves
Change Point Methods
Control Charts for Attributes
Control Charts for Batch Processes
Control Charts for Short Production Runs
Control Charts for the Mean
Control Charts for the Standard Deviation
Control Charts, Nonparametric
Control Charts, Overview
Control Charts, Selection of
Cumulative Sum (CUSUM) Chart
Economic Design of Control Charts
Engineering Process Control
Exponentially Weighted Moving Average Control Chart
Feed-Back Control
Hotelling’s T2 Chart
Interpretation of Multivariate Control Charts
Moving Range and R Charts
Multivariate Charts for Variability
Multivariate Control Charts Overview
Multivariate Cumulative Sum (CUSUM) Chart
Multivariate EWMA Control Chart
Neural Networks: Construction and Evaluation
Precontrol
Profile Monitoring
Regression Control Charts
Variable Sampling Rate Control Charts
Reliability: Life Cycle & Warranty Cost Prediction
Age Dependent Minimal Repair and Maintenance
Analysis of Recurrent Events from Repairable Systems
Burn-In and Maintenance Policies
Cumulative Damage Models Based on Gamma Processes
Degradation Models
Expert Opinion in Reliability
General Minimum Repair Models
Global and Dynamic Information Measures for Reliability
Group Maintenance Policies
Imperfect Repair
Inspection Policies for Reliability
Life Cycle Costs and Reliability Engineering
Load Sharing Models
Maintenance Optimization
Maintenance Optimization in Random Environments.
Markov Renewal Processes in Reliability Modeling
Masked Failure Data: Competing Risks
Multiattribute Warranty Policies
Multicomponent Maintenance
Multi-State Reliability Theory
Multivariate Age and Multivariate Renewal Replacement
Multivariate Imperfect Repair Models
Nonparametric and Semiparametric Bayesian Reliability Analysis
Nonparametric Methods for Analysis of Repair Data
Reliability Growth Modeling
Repair Data, sets of: how to Graph, Analyse, and Compare
Replacement Strategies
Stationary Replacement Strategies
System Availability
Total Time on Tests Plots
Warranty Claims and Costs: Statistical Analysis of
Warranty Cost Analysis
Warranty Cost Prediction Based on Warranty Data
Warranty Modeling
Warranty Servicing
Warranty: Usage and Wear Process for
Reliability: Life Distribution Modeling & Accelerated Testing
Accelerated Life Tests, Bayesian Models
Accelerated Life Tests: Analysis with Competing Failure Modes
Accelerated Life Tests: Nonparametric Approach
Accelerated Life Tests:Bayesian Design
Accelerated Life Tests:Classical Methods for Design and Analysis
Accelerated Life Tests:Designs Comparison with a Bayesian Framework
Accelerated Life Tests:Step Stress (Classical Methods)
Cumulative hazard function
Design for Reliability
Hazard function
Intensity function
Life Testing from a Bayesian Perspective
Masked Failure Data
Mean residual life
Mean time between failures
Mean time to failure
Mean time to repair
Prediction of Expected Fatigue Lives of Fiber Reinforced Plastic Joints
Proportional hazard model
Rate of occurrence of failures
Reliability function
Software Failure Data Analysis
The Cox Proportional Hazard Model
Sampling
Acceptance Sampling in Modern Industrial Environments
Adaptive and Spatial Sampling Designs.
Attribute Sampling Schemes in International Standards
Attributes Sampling Under Classification Error
Continuous Sampling
Data Management in Survey Sampling
Database Systems for Acceptance Sampling
Design and Testing of Questionnaires
Economic Sampling Schemes
Internal and External Quality Measures
Multiple Sampling Plans
Prior Information in Sampling Schemes.
Processing of Survey Data
Rectification Sampling Schemes
Reliability Sampling
Sampling Designs in Surveys
Sampling from Virtual Populations
Sampling in Data Mining (subsampling)
Sampling in Implementation of Statistical Process Control
Sampling in Industrial Standards
Sampling in Pharmaceutical and Chemical Industries
Sampling in Semiconductor Manufacturing.
Sampling in Software Development
Sampling Inspection of Products
Sampling Inspection of Products and Statistical Process Control
Selection and Validation of Response Scales
SERVQUAL Surveys
Single Sampling by Attributes and by Variables.
Skip-lot Sampling and Chain Sampling
Statistical Analysis of Survey Data
Survey Error
Survey Quality and Survey Ethics
Variables Sampling Schemes in International Standards
Variables Sampling Under Measurement Error.
Statistical and Stochastic Modeling
Accelerated Life Models
Aging and Positive Dependance
Applications of Extreme Statistics in Science and Engineering
Availability Models
Bayesian Control Charts
Bayesian Networks
Bayesian Reliability Analysis
Bayesian Reliability Demonstration
Brownian Motion
Causality
Change-Point Models
Characterization in Reliability
Competing Risks
Damage Processes
Degradation and Failure
Degradation Processes
Design of Bayesian Reliability Experiments
Empirical Bayes Estimation of Reliability
Hierarchical Markov Chain Monte Carlo (MCMC) for Bayesian System Reliability
Levy Processes
Maintenance and Markov Decision Models
Markov Processes
Masked Failure Data: Bayesian Modeling
Multivariate Mixtures Models- Related Aging and Dependance Properties
Multivariate Stochastic Orders and Aging
Physical Degradation Models
Poisson Processes
Precedence Tests
Prior Distribution Elicitation
Random Evolutions toward Applications
Renewal Theory
Risk Analysis,Extremes in
Risk Processes
Scan Statistics
Software Reliability Modeling and Analysis
Software Reliability: Bayesian Analysis
Statistical Process Control, Bayesian
Stochastic Deterioration
Stochastic Orders and Aging Notions
Subjective Life Models
System Signatures
System Reliability
Block Replacement
Coherent Systems
Component Reliability Importance
Fault Trees
Flowgraph models
Genetic Algorithms in Reliability
Imperfect Repair, Counting Processes
Intensity Functions for Nonhomogeneous Poisson Processes
k-out-of-n Systems
Modules and Modular Decomposition
Parallel, Series, and SeriesParallel Systems
Path Sets and Cut Sets in System Reliability Modeling
Queues in Reliability
Reliability Allocation
Reliability Databases
Reliability of Redundant Systems
Reliability Optimization
Reliability, Safety, and Risk Management
Repairable Systems Reliability
Repairable systems, statistical inference
Repairable Systems: Bayesian analysis
Stress-Strength Model
System Downtime Distributions
System Reliability: Computational Algebra Methods
System Reliability:Monte-Carlo Estimation.
Editors-in-Chief Fabrizio Ruggeri, CNR-IMATI, Milan, ItalyProf. Ruggeri's research interests include reliability, general statistical modelling with applications in industry, and Bayesian statistics. He is a former President of the European Network for Business and Industrial Statistics (ENBIS) and former Board member of the International Society for Bayesian Analysis (ISBA). He edited two volumes on Bayesian Robustness and special issues of journals. He also served as the Editor (1999-2002) of the ISBA Bulletin and is currently Editor-in-Chief of Applied Stochastic Models in Business and Industry and an Editor of Bayesian Analysis. He is Co-Director of the Applied Bayesian Statistics summer school (ABS) and Chair of the Scientific Committee of the Bayesian Inference in Stochastic Processes (BISP) series of workshops. He is a faculty in the Ph.D. programme in Mathematics and Statisics at the University of Pavia and the Master programme in Applied Mathematics for Industry at University of Milano Bicocca. He has been member of many committees, including Savage Award, De Groot Award and Box Medal. He is the author of nearly 100 publications. Ron S. Kenett, KPA Ltd, Raanana, Israel and University of Turin, Turin, Italy. Professor Kenett's interests include Strategic Planning and Quality Management, Industrial Statistics and Biostatistics, Statistical Process Control and Design of Experiments, Survey Methodology and Software Quality. He is a Fellow of the Royal Statistical Society, a Senior Member of the American Society for Quality,past member of the board of the Israeli Statistical Association and past president of ENBIS, the European Network for Business and Industrial Statistics. He is editor in chief of the journal Quality Technology and Quantitative Management and associate editor of the Journal of the Royal Statistical Society (A) and Applied Stochastic Models in Business and Industry. He is co author of 4 books and over 130 papers, including Modern Industrial Statistics (with S. Zacks), Duxbury Press 1998, and Software Process Quality - Management and Control (with E. Baker) Marcel Dekker Inc., 1999. Ron has been a consultant for leading corporations such as AT&T, hp, EDS, SanDisk, IBM and Amdocs. His career has combined academic positions with activity in the industrial and business sector. Frederick W. Faltin , The Faltin Group, Cody, WY, USAMr. Faltin's interests include Managing Six Sigma, Design for Six Sigma, Business Process Simulation & Optimization, Financial Quality, Supply Chain Management, and Design of Experiments. He is a Fellow of the American Statistical Association, a recipient of the Shewell Prize of the American Society for Quality, and has served on the selection committees of various ASQ awards. He served on the Editorial Review Board of the Journal of Quality Technology, is a past Chair of ASA's Quality and Productivity Section, and is a member of the boards of the Quality & Productivity Research Conference and the Fall Technical Conference. Mr. Faltin has published dozens of papers on applications of mathematics & statistics, and has authored Six Sigma curricula for a number of prominent companies, including Motorola-the company that invented Six Sigma. He was formerly manager of the Strategic Enterprise Technologies laboratory at GE's Global Research Center, and is today Managing Director of The Faltin Group, which he founded in 1999. Editors Basics Statistics Jeroen de Mast , University of Amsterdam, The Netherlands Computationally Intensive Methods & Simulation Simon Wilson , Trinity College Dublin, Ireland Design of Experiments & Robust Design David Steinberg , Tel Aviv University, Israel Health, Safety & Environmental Applications Tony Greenfield , Greenfield Research, UK Management of Quality & Business Statistics Blanton Godfrey , College of Textiles, USA Ramon Leon , University of Tennessee, USA Process Capability & Measurement Systems Analysis Connie Borror , University of Illinois, USA Process Control Mike Adams , University of Alabama, USA Reliability: Life Cycle & Warranty Cost Prediction Refik Soyer , George Washington University, USA Reliability: Life Distribution Modeling & Accelerated Testing Tom Mazzuchi , George Washington University, USA Sampling Rainer Gob , University of Wuerzberg, Germany Statistical and Stochastic Modelling Shelley Zacks , Binghamton University, USA System Reliability Steven Rigdon , Southern Illinois University, USA
"I must say that this encyclopedia is a must-have for everyone working on quality and reliability. It is an excellent source of information." ( Technometrics, May 2010) "[The text] could provide the initial go-to text for any person researching or working within the field of quality. The production is good, with a nice layout and well bound pages ... .The journey through the pages is often interrupted by an unlikely article that catches the attention which is the delight of paper texts." ( Accreditation and Quality Assurance , February 2009)
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