LEADER 05594nam 2200697Ia 450 001 9911006889203321 005 20200520144314.0 010 $a9786611924935 010 $a9781628702323 010 $a162870232X 010 $a9781281924933 010 $a1281924938 010 $a9789812773753 010 $a9812773754 035 $a(CKB)1000000000551581 035 $a(EBL)1209906 035 $a(SSID)ssj0000295115 035 $a(PQKBManifestationID)12114847 035 $a(PQKBTitleCode)TC0000295115 035 $a(PQKBWorkID)10312719 035 $a(PQKB)10785517 035 $a(MiAaPQ)EBC1209906 035 $a(WSP)00006092 035 $a(Perlego)850776 035 $a(EXLCZ)991000000000551581 100 $a20060823d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEncyclopedia and handbook of process capability indices $ea comprehensive exposition of quality control measures /$fW.L. Pearn, Samuel Kotz 210 $aSingapore ;$aHackensack, NJ $cWorld Scientific$dc2006 215 $a1 online resource (391 p.) 225 1 $aSeries on quality, reliability & engineering statistics ;$vvol. 12 300 $aDescription based upon print version of record. 311 08$a9789812567598 311 08$a9812567593 320 $aIncludes bibliographical references (p. 345-374) and index. 327 $aContents; 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 C?p; 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 Cp 327 $a1.4 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 C?a; 2.2.2 Confidence interval on Ca 327 $a2.3 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 C?pk; 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 sample 327 $a4.2.1 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, Le 327 $a5.3 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 Index 327 $a7.1 Process capability and the Spk index 330 $aThis unique volume provides an up-to-date and detailed description of the various process capability indices widely (and sometimes misleadingly) used in the applications at production sites. The authors, who are internationally recognized experts in this area with numerous contributions to the field, provide a lucid exposition, which covers all the main aspects, developments and advances.The concept of Process Capability Index (PCI) is barely 20 years old, but the multitude of available versions can overwhelm even the most seasoned practitioner. The organized and self-contained presentation of 410 0$aSeries on quality, reliability & engineering statistics ;$vvol. 12. 606 $aProcess control$xStatistical methods 606 $aAutomatic control 615 0$aProcess control$xStatistical methods. 615 0$aAutomatic control. 676 $a658.5 700 $aPearn$b W. L$01824661 701 $aKotz$b Samuel$012052 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911006889203321 996 $aEncyclopedia and handbook of process capability indices$94391873 997 $aUNINA