A non-parametric empirical Bayes approach for estimating a process average in quality control / by J. H. MacMillan and W. V. Mudryk.: CS11-617/88-27E-PDF
"At Statistics Canada, acceptance sampling is used as a method of quality control for survey processing operations. The sampling plans which are used will ensure minimum inspection at a specific incoming error level. This error level is estimated by a quantity known as the process average. It is an unknown parameter which is usually estimated from current inspection results, but frequently the estimation is difficult because of small sample sizes. Greater accuracy in the estimate may be produced by using more data from previous samples to improve upon the current sample result. A non-parametric empirical Bayes estimator of the process average is presented. An approximate confidence interval is also constructed. Examples are provided"--Abstract.
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| Department/Agency | Canada. Statistics Canada. Methodology Branch. |
|---|---|
| Title | A non-parametric empirical Bayes approach for estimating a process average in quality control / by J. H. MacMillan and W. V. Mudryk. |
| Series title | Working paper ; 88-27 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | Digitized edition from print [produced by Statistics Canada]. "Working Paper No. BSMD-88-027E." "August 1988." Includes bibliographic references. Abstract also in French. |
| Publishing information | [Ottawa] : Statistics Canada, 1988. |
| Author / Contributor | MacMillan, J. H. Mudryk, W. V. |
| Description | [14] p. |
| Catalogue number |
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| Departmental catalogue number | 11-617E no. 88-27 |
| Subject terms | Statistical analysis Methodology |