Multivariate Quality Control: Theory and ApplicationsCRC Press, 22 d’abr. 1998 - 224 pàgines Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions, and discusses computer graphic analysis highlighting multivariate profile charts. |
Frases i termes més freqüents
50 observations base sample 50 batch beta distribution ceramic substrates chi-squared distribution components chart compute control charts control limits critical values data analysis data collection data set defined diameter measurements Diameter1 dimensions eigenvalues EMPTY COLUMN end exec k2 ENTER HERE NUMBER erase c80 estimated exceeds the critical exec k2 copy F-distribution Figure graphical displays grouped data j-th subgroup Kenett methods MINITAB MP-charts mult multivariate control multivariate control charts multivariate data multivariate normal multivariate normal distribution multivariate observation multivariate quality control multivariate test normal distribution note ENTER null hypothesis number of variables overall parameters performed presented in Chapter process capability study production reference sample rejections S-matrix SAMPLE 12 Scatterplot Shewhart shifted simulated data specific stack standard deviations starplot STATGRAPHICS Statistical Process Control statistical tolerance region step-down procedure store let subsets T-statistic T-value T₁₁ T2-chart TABLE target values tested sample TFont ungrouped univariate VAR1 VAR2 Variable 14 Wierda
Referències a aquest llibre
Multivariate Statistical Process Control with Industrial Applications Robert L. Mason,John C. Young Previsualització no disponible - 2002 |
Statistical Process Adjustment for Quality Control Enrique del Castillo Visualització de fragments - 2002 |