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Statistical analysis of profile monitoring / / Rassoul Noorossana, Abbas Saghaei, Amirhossein Amiri
Statistical analysis of profile monitoring / / Rassoul Noorossana, Abbas Saghaei, Amirhossein Amiri
Autore Noorossana Rassoul <1959->
Edizione [1st ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica 1 online resource (332 p.)
Disciplina 658.5
Altri autori (Persone) SaghaeiAbbas <1972->
AmiriAmirhossein <1979->
Collana Wiley series in probability and statistics
Soggetto topico Process control - Statistical methods
Quality control - Statistical methods
ISBN 1-280-58950-7
9786613619334
1-118-07197-2
1-118-07198-0
1-118-07196-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Analysis of Profile Monitoring; Contents; Preface; Contributors; 1 Introduction to Profile Monitoring; Introduction; 1.1 Functional Relationships Qualified as Profiles; 1.2 Functional Relationships not Qualified as Profiles; 1.3 Structure of This Book; References; 2 Simple Linear Profiles; Introduction; 2.1 Phase I Simple Linear Profile; 2.2 Phase II Simple Linear Profile; 2.3 Special Cases and an Important Application; 2.4 Diagnostic Statistics; 2.5 Violation of the Model Assumptions; Appendix; References; 3 Multiple Linear and Polynomial Profiles; Introduction
3.1 Monitoring Multiple Linear Profiles3.2 Monitoring Polynomial Profiles; References; 4 Binary Response Profiles; Introduction; 4.1 Model Setting and Parameter Estimation; 4.2 Phase I Control; 4.3 Phase II Monitoring; 4.4 Applications; 4.5 Conclusions; References; 5 Parametric Nonlinear Profiles; Introduction; 5.1 Nonlinear Model Estimation; 5.2 Phase I Methods; 5.3 Phase II Methods; 5.4 Variance Profiles; Appendix; References; 6 Nonparametric Nonlinear Profiles; Introduction; 6.1 Model Formulation and Nonparametric Example; 6.2 Splines; 6.3 Component Analysis; 6.4 Wavelets; References
7 Multivariate Linear Profiles MonitoringIntroduction; 7.1 Monitoring Multivariate Simple Linear Profiles; 7.2 Monitoring Multivariate Multiple Linear Profiles; References; 8 Statistical Process Control for Geometric Specifications; Introduction; 8.1 Examples of Geometric Feature Concerning Circularity; 8.2 Control Charts for Profile Monitoring; 8.3 Simple Approaches for Monitoring Manufactured Profiles: The Industrial Practice; 8.4 Performance Comparison; 8.5 Moving from 2D Profiles to 3D Surfaces; 8.6 Concluding Remarks; Acknowledgments; References
9 Correlation and Autocorrelation in ProfilesIntroduction; 9.1 Methods for WPA for Linear Models; 9.2 Methods for BPC for Linear Models; 9.3 Methods for WPA and BPC for Other (Nonlinear) Models; 9.4 Phase I Analysis; 9.5 Phase II Analysis; 9.6 Related Issues: Rational Subgrouping and Random Effects; 9.7 Discussion and Open Questions; Acknowledgment; References; 10 Nonparametric Profile Monitoring; Introduction; 10.1 Monitoring Profiles Based on Nonparametric Regression; 10.2 Nonparametric Profile Monitoring Using Change-Point Formulation and Adaptive Smoothing
10.3 Nonparametric Profile Monitoring by Mixed-Effects ModelingAppendix A: Approximate the Distributions of Quadratic Forms Like zT Az; Appendix B: The Expression of lrt,k in Model (10.8); References; Index
Record Nr. UNINA-9910133222003321
Noorossana Rassoul <1959->  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistical analysis of profile monitoring / Rassoul Noorossana, Abbas Saghaei, Amirhossein Amiri
Statistical analysis of profile monitoring / Rassoul Noorossana, Abbas Saghaei, Amirhossein Amiri
Autore Noorossana, Rassoul, 1959-
Pubbl/distr/stampa Hoboken, N.J. : Wiley, c2011
Descrizione fisica xiii, 306 p. : ill. ; 25 cm
Disciplina 658.5
Altri autori (Persone) Saghaei, Abbas, 1972-author
Amiri, Amirhossein, 1979-author
Collana Wiley series in probability and statistics
Soggetto topico Process control - Statistical methods
Quality control - Statistical methods
ISBN 9780470903223
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991002096769707536
Noorossana, Rassoul, 1959-  
Hoboken, N.J. : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Statistical methods for quality improvement / / Thomas P. Ryan
Statistical methods for quality improvement / / Thomas P. Ryan
Autore Ryan Thomas P. <1945->
Edizione [3rd ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica 1 online resource (702 p.)
Disciplina 658.5/62
Collana Wiley series in probability and statistics
Soggetto topico Quality control - Statistical methods
Process control - Statistical methods
ISBN 1-283-28267-4
9786613282675
1-118-05810-0
1-118-05811-9
1-118-05809-7
Classificazione MAT029000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Methods forQuality Improvement; Contents; Preface; Preface to the Second Edition; Preface to the First Edition; PART I FUNDAMENTAL QUALITY IMPROVEMENT AND STATISTICAL CONCEPTS; 1 Introduction; 1.1 Quality and Productivity; 1.2 Quality Costs (or Does It?); 1.3 The Need for Statistical Methods; 1.4 Early Use of Statistical Methods for Improving Quality; 1.5 Influential Quality Experts; 1.6 Summary; References; 2 Basic Tools for Improving Quality; 2.1 Histogram; 2.2 Pareto Charts; 2.3 Scatter Plots; 2.3.1 Variations of Scatter Plots; 2.4 Control Chart; 2.5 Check Sheet
2.6 Cause-and-Effect Diagram2.7 Defect Concentration Diagram; 2.8 The Seven Newer Tools; 2.8.1 Affinity Diagram; 2.8.2 Interrelationship Digraph; 2.8.3 Tree Diagram; 2.8.4 Prioritization Matrix; 2.8.5 Matrix Diagram; 2.8.6 Process Decision Program Chart; 2.8.7 Activity Network Diagram; 2.9 Software; 2.10 Summary; References; Exercises; 3 Basic Concepts in Statistics and Probability; 3.1 Probability; 3.2 Sample Versus Population; 3.3 Location; 3.4 Variation; 3.5 Discrete Distributions; 3.5.1 Binomial Distribution; 3.5.2 Beta-Binomial Distribution; 3.5.3 Poisson Distribution
3.5.4 Geometric Distribution3.5.5 Negative Binomial Distribution; 3.5.6 Hypergeometric Distribution; 3.6 Continuous Distributions; 3.6.1 Normal Distribution; 3.6.2 t Distribution; 3.6.3 Exponential Distribution; 3.6.4 Lognormal Distribution; 3.6.5 Weibull Distribution; 3.6.6 Extreme Value Distribution; 3.6.7 Gamma Distribution; 3.6.8 Chi-Square Distribution; 3.6.9 Truncated Normal Distribution; 3.6.10 Bivariate and Multivariate Normal Distributions; 3.6.11 F Distribution; 3.6.12 Beta Distribution; 3.6.13 Uniform Distribution; 3.7 Choice of Statistical Distribution; 3.8 Statistical Inference
3.8.1 Central Limit Theorem3.8.2 Point Estimation; 3.8.2.1 Maximum Likelihood Estimation; 3.8.3 Confidence Intervals; 3.8.4 Tolerance Intervals; 3.8.5 Hypothesis Tests; 3.8.5.1 Probability Plots; 3.8.5.2 Likelihood Ratio Tests; 3.8.6 Bonferroni Intervals; 3.9 Enumerative Studies Versus Analytic Studies; References; Exercises; PARTII CONTROL CHARTS AND PROCESS CAPABILITY; 4 Control Charts for Measurements With Subgrouping (for One Variable); 4.1 Basic Control Chart Principles; 4.2 Real-Time Control Charting Versus Analysis of Past Data
4.3 Control Charts: When to Use, Where to Use, How Many to Use4.4 Benefits from the Use of Control Charts; 4.5 Rational Subgroups; 4.6 Basic Statistical Aspects of Control Charts; 4.7 Illustrative Example; 4.7.1 R-Chart; 4.7.2 R-Chart with Probability Limits; 4.7.3 S-Chart; 4.7.4 S-Chart with Probability Limits; 4.7.5 S2-Chart; 4.7.6 X-Chart; 4.7.7 Recomputing Control Limits; 4.7.8 Applying Control Limits to Future Production; 4.7.9 Combining an X- and an S-Chart; 4.7.10 Standards for Control Charts; 4.7.11 Deleting Points; 4.7.12 Target Values; 4.8 Illustrative Example with Real Data
4.9 Determining the Point of a Parameter Change
Record Nr. UNINA-9910133222103321
Ryan Thomas P. <1945->  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical methods for quality improvement [e-book] / Thomas P. Ryan
Statistical methods for quality improvement [e-book] / Thomas P. Ryan
Autore Ryan, Thomas P.
Edizione [3rd ed.]
Pubbl/distr/stampa Hoboken, N.J. : Wiley, c2011
Descrizione fisica 1 online resource (666 p.) : illustrations
Disciplina 658.5/62
Collana Wiley series in probability and statistics
Soggetto topico Quality control - Statistical methods
Process control - Statistical methods
ISBN 9781118058114
Classificazione LC TS156
Formato Software
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991003937299707536
Ryan, Thomas P.  
Hoboken, N.J. : Wiley, c2011
Software
Lo trovi qui: Univ. del Salento
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Statistical methods for quality improvement / Thomas P. Ryan
Statistical methods for quality improvement / Thomas P. Ryan
Autore Ryan, Thomas P.
Edizione [2nd ed.]
Pubbl/distr/stampa New York [etc] : Jhon Wiley and Sons, 2000
Descrizione fisica xxiv, 555 p. ; 24 cm.
Disciplina 658.562
Soggetto topico Quality control - Statistical methods
ISBN 0471197750
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000764449707536
Ryan, Thomas P.  
New York [etc] : Jhon Wiley and Sons, 2000
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Statistical methods for six sigma [[electronic resource] ] : in R&D and manufacturing / / Anand M. Joglekar
Statistical methods for six sigma [[electronic resource] ] : in R&D and manufacturing / / Anand M. Joglekar
Autore Joglekar Anand M
Pubbl/distr/stampa Hoboken, NJ, : Wiley-Interscience, 2003
Descrizione fisica 1 online resource (339 p.)
Disciplina 519.5
551.51/5
658.5/62
Soggetto topico Quality control - Statistical methods
Process control - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 1-280-36769-5
9786610367696
0-470-24804-1
0-471-46537-2
0-471-72121-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Methods for Six Sigma; Contents; Preface; 1 Introduction; 2 Basic Statistics; 2.1 Descriptive Statistics; 2.1.1 Measures of Central Tendency; 2.1.2 Measures of Variability; 2.1.3 Histogram; 2.2 Statistical Distributions; 2.2.1 Normal Distribution; 2.2.2 Binomial Distribution; 2.2.3 Poisson Distribution; 2.3 Confidence Intervals; 2.3.1 Confidence Interval for m; 2.3.2 Confidence Interval for s; 2.3.3 Confidence Interval for p and l; 2.4 Sample Size; 2.4.1 Sample Size to Estimate m; 2.4.2 Sample Size to Estimate s; 2.4.3 Sample Size to Estimate p and l; 2.5 Tolerance Intervals
2.6 Normality, Independence, and Homoscedasticity2.6.1 Normality; 2.6.2 Independence; 2.6.3 Homoscedasticity; 3 Comparative Experiments and Regression Analysis; 3.1 Hypothesis Testing Framework; 3.2 Comparing Single Population; 3.2.1 Comparing Mean (Variance Known); 3.2.2 Comparing Mean (Variance Unknown); 3.2.3 Comparing Standard Deviation; 3.2.4 Comparing Proportion; 3.3 Comparing Two Populations; 3.3.1 Comparing Two Means (Variance Known); 3.3.2 Comparing Two Means (Variance Unknown but Equal); 3.3.3 Comparing Two Means (Variance Unknown and Unequal)
3.3.4 Comparing Two Means (Paired t-test)3.3.5 Comparing Two Standard Deviations; 3.3.6 Comparing Two Proportions; 3.4 Comparing Multiple Populations; 3.4.1 Completely Randomized Design; 3.4.2 Randomized Block Design; 3.4.3 Multiple Comparison Procedures; 3.4.4 Comparing Multiple Standard Deviations; 3.5 Correlation; 3.5.1 Scatter Diagram; 3.5.2 Correlation Coefficient; 3.6 Regression Analysis; 3.6.1 Fitting Equations to Data; 3.6.2 Accelerated Stability Tests; 4 Control Charts; 4.1 Role of Control Charts; 4.2 Logic of Control Limits; 4.3 Variable Control Charts
4.3.1 Average and Range Charts4.3.2 Average and Standard Deviation Charts; 4.3.3 Individual and Moving Range Charts; 4.4 Attribute Control Charts; 4.4.1 Fraction Defective (p) Chart; 4.4.2 Defects per Product (u) Chart; 4.5 Interpreting Control Charts; 4.5.1 Tests for the Chart of Averages; 4.5.2 Tests for Other Charts; 4.6 Key Success Factors; 5 Process Capability; 5.1 Capability and Performance Indices; 5.1.1 C(p) Index; 5.1.2 C(pk) Index; 5.1.3 P(p) Index; 5.1.4 P(pk) Index; 5.1.5 Relationships between C(p), C(pk), P(p), and P(pk); 5.2 Estimating Capability and Performance Indices
5.2.1 Point Estimates for Capability and Performance Indices5.2.2 Confidence Intervals for Capability and Performance Indices; 5.2.3 Connection with Tolerance Intervals; 5.3 Six-Sigma Goal; 5.4 Planning for Improvement; 6 Other Useful Charts; 6.1 Risk-based Control Charts; 6.1.1 Control Limits, Subgroup Size, and Risks; 6.1.2 Risk-Based X Chart; 6.1.3 Risk-Based Attribute Charts; 6.2 Modified Control Limit X Chart; 6.2.1 Chart Design; 6.2.2 Required Minimum C(pk); 6.3 Moving Average Control Chart; 6.4 Short-Run Control Charts; 6.4.1 Short-Run Individual and Moving Range Charts
6.4.2 Short-Run Average and Range Charts
Record Nr. UNINA-9910143182603321
Joglekar Anand M  
Hoboken, NJ, : Wiley-Interscience, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical methods for six sigma [[electronic resource] ] : in R&D and manufacturing / / Anand M. Joglekar
Statistical methods for six sigma [[electronic resource] ] : in R&D and manufacturing / / Anand M. Joglekar
Autore Joglekar Anand M
Pubbl/distr/stampa Hoboken, NJ, : Wiley-Interscience, 2003
Descrizione fisica 1 online resource (339 p.)
Disciplina 519.5
551.51/5
658.5/62
Soggetto topico Quality control - Statistical methods
Process control - Statistical methods
ISBN 1-280-36769-5
9786610367696
0-470-24804-1
0-471-46537-2
0-471-72121-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Methods for Six Sigma; Contents; Preface; 1 Introduction; 2 Basic Statistics; 2.1 Descriptive Statistics; 2.1.1 Measures of Central Tendency; 2.1.2 Measures of Variability; 2.1.3 Histogram; 2.2 Statistical Distributions; 2.2.1 Normal Distribution; 2.2.2 Binomial Distribution; 2.2.3 Poisson Distribution; 2.3 Confidence Intervals; 2.3.1 Confidence Interval for m; 2.3.2 Confidence Interval for s; 2.3.3 Confidence Interval for p and l; 2.4 Sample Size; 2.4.1 Sample Size to Estimate m; 2.4.2 Sample Size to Estimate s; 2.4.3 Sample Size to Estimate p and l; 2.5 Tolerance Intervals
2.6 Normality, Independence, and Homoscedasticity2.6.1 Normality; 2.6.2 Independence; 2.6.3 Homoscedasticity; 3 Comparative Experiments and Regression Analysis; 3.1 Hypothesis Testing Framework; 3.2 Comparing Single Population; 3.2.1 Comparing Mean (Variance Known); 3.2.2 Comparing Mean (Variance Unknown); 3.2.3 Comparing Standard Deviation; 3.2.4 Comparing Proportion; 3.3 Comparing Two Populations; 3.3.1 Comparing Two Means (Variance Known); 3.3.2 Comparing Two Means (Variance Unknown but Equal); 3.3.3 Comparing Two Means (Variance Unknown and Unequal)
3.3.4 Comparing Two Means (Paired t-test)3.3.5 Comparing Two Standard Deviations; 3.3.6 Comparing Two Proportions; 3.4 Comparing Multiple Populations; 3.4.1 Completely Randomized Design; 3.4.2 Randomized Block Design; 3.4.3 Multiple Comparison Procedures; 3.4.4 Comparing Multiple Standard Deviations; 3.5 Correlation; 3.5.1 Scatter Diagram; 3.5.2 Correlation Coefficient; 3.6 Regression Analysis; 3.6.1 Fitting Equations to Data; 3.6.2 Accelerated Stability Tests; 4 Control Charts; 4.1 Role of Control Charts; 4.2 Logic of Control Limits; 4.3 Variable Control Charts
4.3.1 Average and Range Charts4.3.2 Average and Standard Deviation Charts; 4.3.3 Individual and Moving Range Charts; 4.4 Attribute Control Charts; 4.4.1 Fraction Defective (p) Chart; 4.4.2 Defects per Product (u) Chart; 4.5 Interpreting Control Charts; 4.5.1 Tests for the Chart of Averages; 4.5.2 Tests for Other Charts; 4.6 Key Success Factors; 5 Process Capability; 5.1 Capability and Performance Indices; 5.1.1 C(p) Index; 5.1.2 C(pk) Index; 5.1.3 P(p) Index; 5.1.4 P(pk) Index; 5.1.5 Relationships between C(p), C(pk), P(p), and P(pk); 5.2 Estimating Capability and Performance Indices
5.2.1 Point Estimates for Capability and Performance Indices5.2.2 Confidence Intervals for Capability and Performance Indices; 5.2.3 Connection with Tolerance Intervals; 5.3 Six-Sigma Goal; 5.4 Planning for Improvement; 6 Other Useful Charts; 6.1 Risk-based Control Charts; 6.1.1 Control Limits, Subgroup Size, and Risks; 6.1.2 Risk-Based X Chart; 6.1.3 Risk-Based Attribute Charts; 6.2 Modified Control Limit X Chart; 6.2.1 Chart Design; 6.2.2 Required Minimum C(pk); 6.3 Moving Average Control Chart; 6.4 Short-Run Control Charts; 6.4.1 Short-Run Individual and Moving Range Charts
6.4.2 Short-Run Average and Range Charts
Record Nr. UNINA-9910829827503321
Joglekar Anand M  
Hoboken, NJ, : Wiley-Interscience, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical methods for six sigma : in R&D and manufacturing / / Anand M. Joglekar
Statistical methods for six sigma : in R&D and manufacturing / / Anand M. Joglekar
Autore Joglekar Anand M
Pubbl/distr/stampa Hoboken, NJ, : Wiley-Interscience, 2003
Descrizione fisica 1 online resource (339 p.)
Disciplina 658.5/62
Soggetto topico Quality control - Statistical methods
Process control - Statistical methods
ISBN 1-280-36769-5
9786610367696
0-470-24804-1
0-471-46537-2
0-471-72121-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Methods for Six Sigma; Contents; Preface; 1 Introduction; 2 Basic Statistics; 2.1 Descriptive Statistics; 2.1.1 Measures of Central Tendency; 2.1.2 Measures of Variability; 2.1.3 Histogram; 2.2 Statistical Distributions; 2.2.1 Normal Distribution; 2.2.2 Binomial Distribution; 2.2.3 Poisson Distribution; 2.3 Confidence Intervals; 2.3.1 Confidence Interval for m; 2.3.2 Confidence Interval for s; 2.3.3 Confidence Interval for p and l; 2.4 Sample Size; 2.4.1 Sample Size to Estimate m; 2.4.2 Sample Size to Estimate s; 2.4.3 Sample Size to Estimate p and l; 2.5 Tolerance Intervals
2.6 Normality, Independence, and Homoscedasticity2.6.1 Normality; 2.6.2 Independence; 2.6.3 Homoscedasticity; 3 Comparative Experiments and Regression Analysis; 3.1 Hypothesis Testing Framework; 3.2 Comparing Single Population; 3.2.1 Comparing Mean (Variance Known); 3.2.2 Comparing Mean (Variance Unknown); 3.2.3 Comparing Standard Deviation; 3.2.4 Comparing Proportion; 3.3 Comparing Two Populations; 3.3.1 Comparing Two Means (Variance Known); 3.3.2 Comparing Two Means (Variance Unknown but Equal); 3.3.3 Comparing Two Means (Variance Unknown and Unequal)
3.3.4 Comparing Two Means (Paired t-test)3.3.5 Comparing Two Standard Deviations; 3.3.6 Comparing Two Proportions; 3.4 Comparing Multiple Populations; 3.4.1 Completely Randomized Design; 3.4.2 Randomized Block Design; 3.4.3 Multiple Comparison Procedures; 3.4.4 Comparing Multiple Standard Deviations; 3.5 Correlation; 3.5.1 Scatter Diagram; 3.5.2 Correlation Coefficient; 3.6 Regression Analysis; 3.6.1 Fitting Equations to Data; 3.6.2 Accelerated Stability Tests; 4 Control Charts; 4.1 Role of Control Charts; 4.2 Logic of Control Limits; 4.3 Variable Control Charts
4.3.1 Average and Range Charts4.3.2 Average and Standard Deviation Charts; 4.3.3 Individual and Moving Range Charts; 4.4 Attribute Control Charts; 4.4.1 Fraction Defective (p) Chart; 4.4.2 Defects per Product (u) Chart; 4.5 Interpreting Control Charts; 4.5.1 Tests for the Chart of Averages; 4.5.2 Tests for Other Charts; 4.6 Key Success Factors; 5 Process Capability; 5.1 Capability and Performance Indices; 5.1.1 C(p) Index; 5.1.2 C(pk) Index; 5.1.3 P(p) Index; 5.1.4 P(pk) Index; 5.1.5 Relationships between C(p), C(pk), P(p), and P(pk); 5.2 Estimating Capability and Performance Indices
5.2.1 Point Estimates for Capability and Performance Indices5.2.2 Confidence Intervals for Capability and Performance Indices; 5.2.3 Connection with Tolerance Intervals; 5.3 Six-Sigma Goal; 5.4 Planning for Improvement; 6 Other Useful Charts; 6.1 Risk-based Control Charts; 6.1.1 Control Limits, Subgroup Size, and Risks; 6.1.2 Risk-Based X Chart; 6.1.3 Risk-Based Attribute Charts; 6.2 Modified Control Limit X Chart; 6.2.1 Chart Design; 6.2.2 Required Minimum C(pk); 6.3 Moving Average Control Chart; 6.4 Short-Run Control Charts; 6.4.1 Short-Run Individual and Moving Range Charts
6.4.2 Short-Run Average and Range Charts
Record Nr. UNINA-9910876662403321
Joglekar Anand M  
Hoboken, NJ, : Wiley-Interscience, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical methods in engineering and quality assurance
Statistical methods in engineering and quality assurance
Autore John Peter William Meredith
Pubbl/distr/stampa [Place of publication not identified], : Wiley, 1990
Disciplina 620/.0072
Collana Wiley series in probability and mathematical statistics. Statistical methods in engineering and quality assurance
Soggetto topico Engineering - Statistical methods
Quality control - Statistical methods
Quality assurance
Applied Mathematics
Engineering & Applied Sciences
ISBN 0-470-31682-9
0-470-31760-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910144693803321
John Peter William Meredith  
[Place of publication not identified], : Wiley, 1990
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical methods in engineering and quality assurance
Statistical methods in engineering and quality assurance
Autore John Peter William Meredith
Pubbl/distr/stampa [Place of publication not identified], : Wiley, 1990
Disciplina 620/.0072
Collana Wiley series in probability and mathematical statistics. Statistical methods in engineering and quality assurance
Soggetto topico Engineering - Statistical methods
Quality control - Statistical methods
Quality assurance
Applied Mathematics
Engineering & Applied Sciences
ISBN 0-470-31682-9
0-470-31760-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910829828103321
John Peter William Meredith  
[Place of publication not identified], : Wiley, 1990
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui