Encyclopedia of Statistics in Quality and Reliability
Wiley (Publisher)
Published on 1. April 2008
Software
Other digital
1800 pages
978-0-470-06157-2 (ISBN)
Description
An essential reference for statisticians, engineers, and quality professionals in industry, academia, and government, Encyclopedia of Statistics in Quality and Reliability offers an essential knowledge source in an area where one is sorely needed. Providing a practical orientation with a large selection of case studies, this multi-volume state-of-the-art publication examines the widespread use of Six Sigma. This popular quality measuring technique is a highly adaptable tool with many wide-reaching applications in a large variety of sectors.
Reviews / Votes
"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)More details
Language
English
Place of publication
Hoboken
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Dimensions
Height: 268 mm
Width: 178 mm
Thickness: 218 mm
Weight
6826 gr
ISBN-13
978-0-470-06157-2 (9780470061572)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
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
Content
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.