What is stratified systematic sampling

Summary

"While an enormous effort is made to improve quality on the analytical side of the apparatus, this is not the case with sampling ..." [1]. Even if the test errors of a certain analytical method are known, the result does not allow any statement about the correctness in relation to the batch of goods to be assessed [2], because even repeated and comparative measurements are always influenced by the systematic and statistically random sampling error. In measurements in the field of chemistry, the sampling error is slightly larger by a power of ten than the method-related measurement error [3].

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literature

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German Institute for Standardization V. Berlin

  1. DIN 55350 Part 13 Terms of quality assurance and statistics; Terms for the accuracy of investigative procedures and investigation results 1987Google Scholar
  2. DIN 53 803 part t testing of textiles: sampling, statistical principles of sampling with simple division 1979. Draft divides sampling; Practical implementation 1979. Part 3 sampling; Statistical basics of sampling with double division according to two equal aspects 1979. Part 4 Sampling; Statistical basis of sampling with double division according to two subordinate aspects 1984Google Scholar
  3. DIN 55 350 Part 14 Terms of quality assurance and statistics; Sampling Terms 1985Google Scholar
  4. Draft DIN ISO 2859 Part 1 Acceptance sample test based on the number of defective units or errors (attribute test) 1989Google Scholar
  5. Draft DIN ISO 2859 Part 2 Acceptance sample test based on the number of defective units or defects (attribute test) according to the quality limit to be rejected (LQ), random sample instructions for testing individual lots 1989. Part 3 Acceptance sample test based on the number of defective units or defects (attribute test); Skip-lot procedure 1989Google Scholar
  6. Draft DIN ISO 3951 procedure and tables for random sample testing for the proportion of defective units in percent based on quantitative characteristics (variable testing) 1989Google Scholar
  7. DIN 55350 Part 131 Terms of quality assurance and statistics; Acceptance Sampling Terms 1985Google Scholar
  8. DIN 53804 Part I Statistical evaluations; Measurable (continuous) characteristics 1981. Part 2 Statistical evaluations; countable (discrete) characteristics 1985. Part 3 Statistical evaluations; Ordinal features 1982. Part 4 Statistiche evaluations; Attribute characteristics 1985Google Scholar
  9. Draft DIN 55303 Part 6 Statistical analysis of data; Test procedures and confidence levels for proportionsGoogle Scholar
  10. DIN technical report 6 limit values; Establishing and fulfilling the requirements 1986Google Scholar

The following, not quoted, relevant standards are also recommended

  1. DIN 55350 Part 11 Terms of quality assurance and statistics; Basic concepts of quality assurance 1987Google Scholar
  2. Part 12 Terms of quality assurance and statistics; Feature-related terms 1987Google Scholar
  3. Part 21 Terms of quality assurance and statistics; Terms of statistics; Random quantities and probability distributions 1982Google Scholar
  4. Part 22 Terms of Quality Assurance and Statistics; Terms of statistics; Special probability distributions 1987Google Scholar
  5. Part 23 Terms of quality assurance and statistics; Terms of statistics; Descriptive Statistics 1983Google Scholar
  6. Part 24 Terms of Quality Assurance and Statistics; Terms of statistics; Closing statistic 1982Google Scholar
  7. Part 34 Terms of Quality Assurance and Statistics; Detection limit. Coverage limit and coverageGoogle Scholar
  8. Draft DIN ISO 8402 quality; Terms Google Scholar
  9. Al quality - terms; Amendment 1 Google Scholar

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© Springer-Verlag Berlin Heidelberg 1991

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