Sampling plans using extended EWMA statistic with and without auxiliary information
Joint Authors
Naveed, Muhammad
Khan, Nasrullah
Said, Muhammad
Aslam, Muhammad
Azam, Muhammad
Source
Issue
Vol. 48, Issue 4 (31 Oct. 2021), pp.1-20, 20 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2021-10-31
Country of Publication
Kuwait
No. of Pages
20
Main Subjects
Abstract EN
In this paper, we propose an acceptance sampling plan (ASP) using the statistic suggested by Naveed et al.
(2018) under the condition of known and unknown population standard deviation (SD) for the presence of with and without auxiliary information (AI).
it is presumed that the study variable of quality trait and AI follow the bivariate normal distribution.
the plan parameters of the recommended plan are discussed for all four cases under the constraint that specified producer and consumer risks are gratified.
the suggested plan is compared in terms of sample size (SS) with numerous existing plans and showed that the presented plan has a smaller SS for any value of AQL, LQL.
various tables of plan parameters have been erected using various combinations of smoothing constants for industrial use.
for the workable purpose, the industrial example has also been examined.
at last, concluding remarks are discussed.
American Psychological Association (APA)
Naveed, Muhammad& Azam, Muhammad& Said, Muhammad& Khan, Nasrullah& Aslam, Muhammad. 2021. Sampling plans using extended EWMA statistic with and without auxiliary information. Kuwait Journal of Science،Vol. 48, no. 4, pp.1-20.
https://search.emarefa.net/detail/BIM-1502123
Modern Language Association (MLA)
Naveed, Muhammad…[et al.]. Sampling plans using extended EWMA statistic with and without auxiliary information. Kuwait Journal of Science Vol. 48, no. 4 (Oct. 2021), pp.1-20.
https://search.emarefa.net/detail/BIM-1502123
American Medical Association (AMA)
Naveed, Muhammad& Azam, Muhammad& Said, Muhammad& Khan, Nasrullah& Aslam, Muhammad. Sampling plans using extended EWMA statistic with and without auxiliary information. Kuwait Journal of Science. 2021. Vol. 48, no. 4, pp.1-20.
https://search.emarefa.net/detail/BIM-1502123
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 18-20
Record ID
BIM-1502123