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One sided acceptance sampling by variables : the case of the Laplace distribution
- Source :
- Communications in Statistics-Theory and Methods, Communications in Statistics-Theory and Methods, Taylor & Francis, 1997, 26 (11), pp.2817-2834
- Publication Year :
- 1997
- Publisher :
- HAL CCSD, 1997.
-
Abstract
- National audience; The theory of acceptance sampling by variables is well known when the underlying distribution is normal. When the normality assumption is not true, using the usual normal case method can be quite misleading. In this paper we deal with the Laplace distribution for both the standard deviation known and then unknown. We establish a decision rule for accepting a lot of product containing a defective proportion p. We determine the density function of the decision rule statistic, for small and large sample sizes. We give some pratical ways to choose the sample size and the acceptance constant to obtain a desired operating characteristic curve.
- Subjects :
- Statistics and Probability
021103 operations research
[SDV]Life Sciences [q-bio]
Order statistic
0211 other engineering and technologies
02 engineering and technology
Decision rule
16. Peace & justice
01 natural sciences
Laplace distribution
[SDV] Life Sciences [q-bio]
010104 statistics & probability
Standard error
Acceptance sampling
Sampling distribution
Sample size determination
Statistics
Z-test
0101 mathematics
CONTROLE DE QUALITE
Mathematics
Subjects
Details
- Language :
- French
- ISSN :
- 03610926 and 1532415X
- Database :
- OpenAIRE
- Journal :
- Communications in Statistics-Theory and Methods, Communications in Statistics-Theory and Methods, Taylor & Francis, 1997, 26 (11), pp.2817-2834
- Accession number :
- edsair.doi.dedup.....fc138f620c14fd2bd900b3259a128f84