05594nam 2200697Ia 450 991100688920332120200520144314.097866119249359781628702323162870232X9781281924933128192493897898127737539812773754(CKB)1000000000551581(EBL)1209906(SSID)ssj0000295115(PQKBManifestationID)12114847(PQKBTitleCode)TC0000295115(PQKBWorkID)10312719(PQKB)10785517(MiAaPQ)EBC1209906(WSP)00006092(Perlego)850776(EXLCZ)99100000000055158120060823d2006 uy 0engur|n|---|||||txtccrEncyclopedia and handbook of process capability indices a comprehensive exposition of quality control measures /W.L. Pearn, Samuel KotzSingapore ;Hackensack, NJ World Scientificc20061 online resource (391 p.)Series on quality, reliability & engineering statistics ;vol. 12Description based upon print version of record.9789812567598 9812567593 Includes bibliographical references (p. 345-374) and index.Contents; About the Authors; Introduction; 1. The Cp Index; 1.1 Process precision and the Cp index; 1.2 Estimating and testing Cp based on a single sample; 1.2.1 Estimation of Cp; 1.2.2 The r-th moment of Ĉp; 1.2.3 Statistical properties of the estimated Cp; 1.2.4 Confidence interval for Cp; 1.2.5 Sample size determination for estimation of Cp; 1.2.6 Hypothesis testing with Cp; 1.3 Estimating and testing C based on multiple samples; 1.3.1 Estimation of Cp and its properties; 1.3.2 Lower confidence bound on Cp; 1.3.3 Hypothesis testing with Cp1.4 Estimating and testing Cp based on (X, R) control chart samples1.4.1 Estimation of Cp based on (X, R) samples; 1.4.2 Hypothesis testing for Cp based on (X, R) samples; 1.5 Estimating and testing Cp based on (X, S) control chart samples; 1.5.1 Estimation of Cp based on (X, S) samples; 1.5.2 Hypotheses testing for Cp based on (X, S) samples; 1.6 A Bayesian approach to assessment of Cp; 2. The Ca Index; 2.1 Process accuracy and the Ca index; 2.2 Estimating and testing Ca based on a single sample; 2.2.1 The first two moments of Ĉa; 2.2.2 Confidence interval on Ca2.3 Estimating and testing Ca based on multiple samples2.4 Bayesian-like estimator of Ca; 3. The Cpk Index; 3.1 Process capability and the Cpk index; 3.2 Estimating and testing Cpk based on a single sample; 3.2.1 The r-th moment of Ĉpk; 3.2.2 Distributional properties of Cpk; 3.2.3 Confidence intervals for Cpk; 3.2.4 Hypothesis testing with Cpk; 3.3 Estimating and testing Cpk based on multiple samples; 3.4 The Bayesian approach to Cpk; 3.5 The Bayesian-like estimator of Cpk; 4. The Cpm Index; 4.1 Process capability and the Cpm index; 4.2 Estimating and testing Cpm based on a single sample4.2.1 Estimation and distributional properties of estimators4.2.2 Confidence intervals for Cpm; 4.2.3 Sample size determination for Cpm; 4.2.4 Hypothesis testing procedure (using Cpm); 4.3 Estimating and testing Cpm based on multiple samples; 4.4 The Bayesian approach to Cpm; 5. The Loss Indices; 5.1 Process loss and the Le index; 5.2 Estimation of Lpe, Lot, and Le; 5.2.1 Estimating the process relative inconsistency loss, Lpe; 5.2.2 Estimation of a process relative the off-target loss, Lot; 5.2.3 Estimation of process expected relative loss, Le5.3 Upper confidence bounds of Lpe, Lot, and Le5.3.1 An upper confidence bound on Lpe; 5.3.2 An upper confidence bound on Lot; 5.3.3 An upper confidence bound on Le; 5.4 Testing process capability based on the process loss; 6. The Cpmk Index; 6.1 Process capability and the Cpmk index; 6.2 Estimating and testing Cpmk based on a single sample; 6.2.1 Estimation and the distribution of the estimated Cpmk; 6.2.2 Confidence intervals on Cpmk; 6.2.3 Hypothesis testing with Cpmk; 6.3 Estimating and testing Cpmk based on multiple samples; 6.4 Bayesian-like estimation of Cpmk; 7. The Spk Index7.1 Process capability and the Spk indexThis unique volume provides an up-to-date and detailed description of the various process capability indices widely (and sometimes misleadingly) used in the applications at production sites. The authors, who are internationally recognized experts in this area with numerous contributions to the field, provide a lucid exposition, which covers all the main aspects, developments and advances.The concept of Process Capability Index (PCI) is barely 20 years old, but the multitude of available versions can overwhelm even the most seasoned practitioner. The organized and self-contained presentation ofSeries on quality, reliability & engineering statistics ;vol. 12.Process controlStatistical methodsAutomatic controlProcess controlStatistical methods.Automatic control.658.5Pearn W. L1824661Kotz Samuel12052MiAaPQMiAaPQMiAaPQBOOK9911006889203321Encyclopedia and handbook of process capability indices4391873UNINA