LEADER 00711nam0 22002771i 450 001 990006726800403321 005 20001010 035 $a000672680 035 $aFED01000672680 035 $a(Aleph)000672680FED01 035 $a000672680 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $a<>OPUSCOLI. 210 $aNapoli$cGuida$d1971 215 $avoll. 225 1 $a 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006726800403321 951 $aCOLLEZ. 507$bVEDI SCHEDONE$eBiblioteca Centrale della Facolt| di Scienze Politiche$fFSPBC 959 $aFSPBC 996 $aOPUSCOLI$9632164 997 $aUNINA DB $aGEN01 LEADER 04969nam 22006615 450 001 9910300099503321 005 20251230055040.0 010 $a3-319-75295-2 024 7 $a10.1007/978-3-319-75295-2 035 $a(CKB)4100000004835589 035 $a(DE-He213)978-3-319-75295-2 035 $a(MiAaPQ)EBC5431164 035 $a(PPN)229495958 035 $a(EXLCZ)994100000004835589 100 $a20180615d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFrontiers in Statistical Quality Control 12 /$fedited by Sven Knoth, Wolfgang Schmid 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XVII, 366 p. 85 illus., 26 illus. in color.) 225 1 $aFrontiers in Statistical Quality Control,$x2698-2714 311 08$a3-319-75294-4 327 $aChapter 1. Phase I Distribution-Free Analysis with the R Package dfphase1 -- Chapter 2. Assessment of Shewhart Control Chart Limits in Phase I Implementations under Various Shift and Contamination Scenarios -- Chapter 3. New results for two-sided CUSUM-Shewhart control charts -- Chapter 4. Optimal Design of the Shiryaev?Roberts Chart: Give Your Shiryaev?Roberts a Headstart -- Chapter 5. On ARL-unbiased charts to monitor the traffic intensity of a single server queue -- Chapter 6. Risk-Adjusted Exponentially Weighted Moving Average Charting Procedure Based on Multi-Responses -- Chapter 7. A Primer on SPC and Web Data -- Chapter 8. The Variable-Dimension Approach in Multivariate SPC -- Chapter 8. Distribution Free Bivariate Monitoring of Dispersion -- Chapter 9. Monitoring and diagnosis of causal relationships among variables -- Chapter 10. Statistical monitoring of multi-stage processes -- Chapter 11. Control Charts for Time-Dependent Categorical Processes -- Chapter 12. Monitoring ofshort series of dependent observations using a XWAM control chart -- Chapter 13. Challenges in Monitoring Non-Stationary Time Series -- Chapter 14. Design of Experiments: A Key to Successful Innovation -- Chapter 15. D-Optimal Three-Stage Unbalanced Nested Designs for the Determination of Measurement Precision -- Chapter 16. Sampling inspection by variables under Weibull distribution and Type I censoring -- Chapter 17. Approximate Log-linear Cumulative Exposure Time Scale Model by Joint Moment Generating Function of Covariates -- Chapter 18. A Critique of Bayesian Approaches within Quality Improvement -- Chapter 19. A Note on the Quality of Biomedical Statistics. 330 $aThis book provides insights into important new developments in the area of statistical quality control and critically discusses methods used in on-line and off-line statistical quality control. The book is divided into three parts: Part I covers statistical process control, Part II deals with design of experiments, while Part III focuses on fields such as reliability theory and data quality. The 12th International Workshop on Intelligent Statistical Quality Control (Hamburg, Germany, August 16 ? 19, 2016) was jointly organized by Professors Sven Knoth and Wolfgang Schmid. The contributions presented in this volume were carefully selected and reviewed by the conference?s scientific program committee. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of quality control. 410 0$aFrontiers in Statistical Quality Control,$x2698-2714 606 $aStatistics 606 $aSecurity systems 606 $aMathematical statistics$xData processing 606 $aData mining 606 $aBiometry 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aSecurity Science and Technology 606 $aStatistics and Computing 606 $aData Mining and Knowledge Discovery 606 $aBiostatistics 606 $aStatistics in Business, Management, Economics, Finance, Insurance 615 0$aStatistics. 615 0$aSecurity systems. 615 0$aMathematical statistics$xData processing. 615 0$aData mining. 615 0$aBiometry. 615 14$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aSecurity Science and Technology. 615 24$aStatistics and Computing. 615 24$aData Mining and Knowledge Discovery. 615 24$aBiostatistics. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 676 $a658.562 702 $aKnoth$b Sven$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchmid$b Wolfgang$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910300099503321 996 $aFrontiers in statistical quality control 12$91564737 997 $aUNINA LEADER 00971nam a2200229 u 4500 001 991004407729107536 005 20251120115616.0 008 251120s2005 -uka r 001 0 eng d 020 $a9781845640248 040 $aBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. Ingegneria Innovazione$beng 082 0 $a610.15118 110 2 $aInternational Conference on Modelling in Medicine and Biology$n(6th :$d2005 :$cBologna, Italy)$01888651 245 10$aModelling in medicine and biology VI /$ceditors, M. Ursino ... [et al.] 260 $aSouthampton, UK ;$aBoston :$bWIT ;$aBillerica, MA :$bComputational Mechanics,$cc2005 300 $a601 p. :$bill. ;$c24 cm 490 0 $aWIT transactions on biomedicine and health,$x1747-4485 ;$v8 650 0$aBioengineering$vCongresses 650 0$aMedicine$xMathematical models$vCongresses 700 1 $aUrsino M.$qMauro 912 $a991004407729107536 996 $aModelling in medicine and biology VI$94527958 997 $aUNISALENTO