Nonparametric statistical process control. (2018)
- Record Type:
- Book
- Title:
- Nonparametric statistical process control. (2018)
- Main Title:
- Nonparametric statistical process control
- Further Information:
- Note: Subhabrata Chakraborti, Marien Graham.
- Authors:
- Chakraborti, Subhabrata
Graham, Marien A - Contents:
- About the Authors xiii Preface xv About the companion website xix 1 Background/Review of Statistical Concepts 1 Chapter Overview 1 1.1 Basic Probability 1 1.2 Random Variables and Their Distributions 3 1.3 Random Sample 12 1.4 Statistical Inference 16 1.5 Role of the Computer 22 2 Basics of Statistical Process Control 23 Chapter Overview 23 2.1 Basic Concepts 23 2.1.1 Types of Variability 23 2.1.2 The Control Chart 25 2.1.3 Construction of Control Charts 29 2.1.4 Variables and Attributes Control Charts 30 2.1.5 Sample Size or Subgroup Size 31 2.1.6 Rational Subgrouping 31 2.1.7 Nonparametric or Distribution-free 34 2.1.8 Monitoring Process Location and/or Process Scale 36 2.1.9 Case K and Case U 37 2.1.10 Control Charts and Hypothesis Testing 37 2.1.11 General Steps in Designing a Control Chart 39 2.1.12 Measures of Control Chart Performance 39 2.1.12.1 False Alarm Probability (FAP ) 41 2.1.12.2 False Alarm Rate (FAR ) 43 2.1.12.3 The Average Run-length (ARL ) 43 2.1.12.4 Standard Deviation of Run-length (SDRL ) 44 2.1.12.5 Percentiles of Run-length 44 2.1.12.6 Average Number of Samples to Signal (ANSS ) 48 2.1.12.7 Average Number of Observations to Signal (ANOS ) 48 2.1.12.8 Average Time to Signal (ATS ) 48 2.1.12.9 Number of Individual Items Inspected (I ) 49 2.1.13 Operating Characteristic Curves (OC -curves) 50 2.1.14 Design of Control Charts 51 2.1.14.1 Sample Size, Sampling Frequency, and Variable Sample Sizes 51 2.1.14.2 Variable Control Limits 54 2.1.14.3About the Authors xiii Preface xv About the companion website xix 1 Background/Review of Statistical Concepts 1 Chapter Overview 1 1.1 Basic Probability 1 1.2 Random Variables and Their Distributions 3 1.3 Random Sample 12 1.4 Statistical Inference 16 1.5 Role of the Computer 22 2 Basics of Statistical Process Control 23 Chapter Overview 23 2.1 Basic Concepts 23 2.1.1 Types of Variability 23 2.1.2 The Control Chart 25 2.1.3 Construction of Control Charts 29 2.1.4 Variables and Attributes Control Charts 30 2.1.5 Sample Size or Subgroup Size 31 2.1.6 Rational Subgrouping 31 2.1.7 Nonparametric or Distribution-free 34 2.1.8 Monitoring Process Location and/or Process Scale 36 2.1.9 Case K and Case U 37 2.1.10 Control Charts and Hypothesis Testing 37 2.1.11 General Steps in Designing a Control Chart 39 2.1.12 Measures of Control Chart Performance 39 2.1.12.1 False Alarm Probability (FAP ) 41 2.1.12.2 False Alarm Rate (FAR ) 43 2.1.12.3 The Average Run-length (ARL ) 43 2.1.12.4 Standard Deviation of Run-length (SDRL ) 44 2.1.12.5 Percentiles of Run-length 44 2.1.12.6 Average Number of Samples to Signal (ANSS ) 48 2.1.12.7 Average Number of Observations to Signal (ANOS ) 48 2.1.12.8 Average Time to Signal (ATS ) 48 2.1.12.9 Number of Individual Items Inspected (I ) 49 2.1.13 Operating Characteristic Curves (OC -curves) 50 2.1.14 Design of Control Charts 51 2.1.14.1 Sample Size, Sampling Frequency, and Variable Sample Sizes 51 2.1.14.2 Variable Control Limits 54 2.1.14.3 Standardized Control Limits 56 2.1.15 Size of a Shift 57 2.1.16 Choice of Control Limits 59 2.1.16.1 k -sigma Limits 59 2.1.16.2 Probability Limits 60 3 Parametric Univariate Variables Control Charts 63 Chapter Overview 63 3.1 Introduction 64 3.2 Parametric Variables Control Charts in Case K 64 3.2.1 Shewhart Control Charts 65 3.2.2 CUSUM Control Charts 67 3.2.3 EWMA Control Charts 72 3.3 Types of Parametric Variables Charts in Case K: Illustrative Examples 77 3.3.1 Shewhart Control Charts 77 3.3.1.1 Shewhart Control Charts for Monitoring Process Mean 77 3.3.1.2 Shewhart Control Charts for Monitoring Process Variation 79 3.3.2 CUSUM Control Charts 84 3.3.3 EWMA Control Charts 87 3.4 Shewhart, EWMA, and CUSUM Charts: Which to Use When 90 3.5 Control Chart Enhancements 91 3.5.1 Sensitivity Rules 91 3.5.2 Runs-type Signaling Rules 95 3.5.2.1 Signaling Indicators 97 3.6 Run-length Distribution in the Specified Parameter Case (Case K) 110 3.6.1 Methods of Calculating the Run-length Distribution 110 3.6.1.1 The Exact Approach (for Shewhart and some Shewhart-type Charts) 110 3.6.1.2 The Markov Chain Approach 111 3.6.1.3 The Integral Equation Approach 128 3.6.1.4 The Computer Simulations (the Monte Carlo) Approach 128 3.7 Parameter Estimation Problem and Its Effects on the Control Chart Performance 131 3.8 Parametric Variables Control Charts in Case U 133 3.8.1 Shewhart Control Charts in Case U 133 3.8.1.1 Shewhart Control Charts for the Mean in Case U 133 3.8.1.2 Shewhart Control Charts for the Standard Deviation in Case U 134 3.8.2 CUSUM Chart for the Mean in Case U 137 3.8.3 EWMA Chart for the Mean in Case U 137 3.9 Types of Parametric Control Charts in Case U: Illustrative Examples 138 3.9.1 Charts for the Mean 138 3.9.2 Charts for the Standard Deviation 141 3.9.2.1 Using the Estimator Sp 144 3.10 Run-length Distribution in the unknown Parameter Case (Case U) 153 3.10.1 Methods of Calculating the Run-length Distribution and Its Properties: The Conditioning/Unconditioning Method 153 3.10.1.1 The Shewhart Chart for the Mean in Case U 153 3.10.1.2 The Shewhart Chart for the Variance in Case U 169 3.10.1.3 The CUSUM Chart for the Mean in Case U 170 3.10.1.4 The EWMA Chart for the Mean in Case U 171 3.11 Control Chart Enhancements 172 3.11.1 Run-length Calculation for Runs-type Signaling Rules in Case U 172 3.12 Phase I Control Charts 174 3.12.1 Phase I X -chart 174 3.13 Size of Phase I Data 176 3.14 Robustness of Parametric Control Charts 177 Appendix 3.1 Some Derivations for the EWMA Control Chart 178 Appendix 3.2 Markov Chains 180 Appendix 3.3 Some Derivations for the Shewhart Dispersion Charts 184 4 Nonparametric (Distribution-free) Univariate Variables Control Charts 187 Chapter Overview 187 4.1 Introduction 187 4.2 Distribution-free Variables Control Charts in Case K 189 4.2.1 Shewhart Control Charts 189 4.2.1.1 Shewhart Control Charts Based on Signs 189 4.2.1.2 Shewhart Control Charts Based on Signed-ranks 196 4.2.2 CUSUM Control Charts 202 4.2.2.1 CUSUM Control Charts Based on Signs 202 4.2.2.2 A CUSUM Sign Control Chart with Runs-type Signaling Rules 203 4.2.2.3 Methods of Calculating the Run-length Distribution 203 4.2.2.4 CUSUM Control Charts Based on Signed-ranks 205 4.2.3 EWMA Control Charts 208 4.2.3.1 EWMA Control Charts Based on Signs 208 4.2.3.2 EWMA Control Charts Based on Signs with Runs-type Signaling Rules 210 4.2.3.3 Methods of Calculating the Run-length Distribution 210 4.2.3.4 EWMA Control Charts Based on Signed-ranks 214 4.2.3.5 An EWMA-SR control chart with runs-type signaling rules 216 4.2.3.6 Methods of Calculating the Run-length Distribution 216 4.3 Distribution-free Control Charts in Case K: Illustrative Examples 219 4.3.1 Shewhart Control Charts 219 4.3.2 CUSUM Control Charts 229 4.3.3 EWMA Control Charts 243 4.4 Distribution-free Variables Control Charts in Case U 253 4.4.1 Shewhart Control Charts 254 4.4.1.1 Shewhart Control Charts Based on the Precedence Statistic 254 4.4.1.2 Shewhart Control Charts Based on the Mann–Whitney Test Statistic 275 4.4.2 CUSUM Control Charts 281 4.4.2.1 CUSUM Control Charts Based on the Exceedance Statistic 281 4.4.2.2 CUSUM Control Charts Based on the Wilcoxon Rank-sum Statistic 285 4.4.3 EWMA Control Charts 287 4.4.3.1 EWMA Control Charts Based on the Exceedance Statistic 287 4.4.3.2 EWMA Control Charts Based on the Wilcoxon Rank-sum Statistic 290 4.5 Distribution-free Control Charts in Case U: Illustrative Examples 293 4.5.1 Shewhart Control Charts 293 4.5.2 CUSUM Control Charts 295 4.5.3 EWMA Control Charts 302 4.6 Effects of Parameter Estimation 307 4.7 Size of Phase I Data 307 4.8 Control Chart Enhancements 308 4.8.1 Sensitivity and Runs-type Signaling Rules 308 Appendix 4.1 Shewhart Control Charts 311 Appendix 4.1.1 The Shewhart-Prec Control Chart 311 Appendix 4.2 CUSUM Control Charts 312 Appendix 4.2.1 The CUSUM-EX Control Chart 312 Appendix 4.2.2 The CUSUM-rank Control Chart 314 Appendix 4.3 EWMA Control Charts 317 Appendix 4.3.1 The EWMA-SN Control Chart 317 Appendix 4.3.2 The EWMA-SR Control Chart 318 Appendix 4.3.3 The EWMA-EX Control Chart 319 Appendix 4.3.4 The EWMA-rank Control Chart 323 5 Miscellaneous Univariate Distribution-free (Nonparametric) Variables Control Charts 325 Chapter Overview 325 5.1 Introduction 325 5.2 Other Univariate Distribution-free (Nonparametric) Variables Control Charts 326 5.2.1 Pha … (more)
- Edition:
- 1st
- Publisher Details:
- Hoboken, New Jersey : John Wiley & Sons, Inc
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 658.562015195
Process control -- Statistical methods
Nonparametric statistics - Languages:
- English
- ISBNs:
- 9781118890578
9781118890677 - Notes:
- Note: Description based on CIP data; resource not viewed.
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