TY  - BOOK
AU  - Duncan,Acheson J.
TI  - Quality control and industrial statistics
U1  - SA.5 
PY  - 1969///
CY  - Bombay
PB  - D.B. Taraporevala Sons & Co. Pvt. Ltd.
KW  - Quality Control
KW  - Statistics
KW  - Industry
N1  - Includes index; Introduction -- Probability -- Frequency distributions of sample data -- Universe frequency distributions -- The sampling distribution of a proportion or fraction -- Other important sampling distributions -- Acceptance sampling by attributes: single-sampling plans -- Acceptance sampling by attributes: double and sequential fraction-defective sampling plans -- Acceptance sampling by attributes: multiple fraction-defective sampling plans --  Acceptance sampling by attributes: sampling plans of the department of defense -- Acceptance sampling by variables to control the fraction defective: standard deviation known -- Acceptance sampling by variables to control the fraction defective: standard deviation unknown -- Acceptance sampling by variables to control the fraction defective:sampling plans of the department of defense -- Comparison of various types of sampling plans to give assurance regarding the process or lot fraction defective --  Acceptance sampling by variables to give assurance regarding the mean or standard deviation of a process or lot -- Rectifying inspection for lot-by-lot sampling -- Sampling plans for continuous production -- The general theory of control charts -- Control charts for fraction defective (p-charts) -- Control charts for number of defects per unit (c-charts and u-charts) -- Variables control charts -- Cumulative sum control charts -- Special devices and procedures -- Estimation of lot and process characteristics -- Tests of hypotheses pertaining to proportions, means, and variances -- Tests pertaining to the difference between two proportions, means, or variances -- Tests of normality -- Contingency tables and Chi-square tests -- Analysis of variance -- Analysis of variance (continued) -- Analyses supplementary to and associated with analysis of variance -- Regression and correlation: two variables -- Regression and correlation: three and more variables -- Analysis or covariance -- The design of experiments -- The design of experiments (continued) -- Mapping response surfaces and determination of optimum conditions
ER  -