Skip to main content
Log in

An Application of Time Truncated Single Acceptance Sampling Inspection Plan Based on Generalized Half-Normal Distribution

  • Published:
Annals of Data Science Aims and scope Submit manuscript

A Correction to this article was published on 19 May 2020

This article has been updated

Abstract

In this paper, single acceptance sampling inspection plan for generalized half-normal distribution when the lifetime experiment is truncated at a pre-fixed time is introduced. For the propose plan, ratio of true mean life time to specified mean life time for different choices of confidence level are provided. Minimum sample size which is necessary to ensure a certain specified lifetime are obtained. Operating characteristic values of the proposed plan are also presented. A real life example is considered to show the applicability of the proposed sampling plan.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Change history

Abbreviations

c:

Acceptance number

n:

Sample size

\(\hbox {Q}_1\) :

First quartile

\(\hbox {Q}_3\) :

Third quartile

\(\alpha\) :

Shape parameter

\(\theta\) :

Scale parameter

\(\mu\) :

True mean

\(\mu _0\) :

Specified mean

ASIP:

Acceptance sampling inspection plan.

ASN:

Average sample number

CDF:

Cumulative distribution function

CS:

Coefficient of skewness

CK:

Coefficient of kurtosis

DASIP:

Double acceptance sampling inspection plan

GHN distribution:

Generalized half-normal distribution

MASIP:

Multiple acceptance sampling inspection plan

OC function:

Operating characteristic function

PDF:

Probability density function

SPC:

Statistical process control

SASIP:

Single acceptance sampling inspection plan

SQC:

Statistical quality control

References

  1. Aslam M, Kundu D, Ahmed M (2010) Time truncated acceptance sampling plans for generalized exponential distribution. J Appl Stat 37(4):555–566

    Article  Google Scholar 

  2. Al-Omari AI (2015) Time truncated acceptance sampling plans for generalized inverted exponential distribution. Electron J Appl Stat Anal 8(1):1–12

    Google Scholar 

  3. Al-Nasser AD, Al-Omari AI (2013) Acceptance sampling plan based on truncated life tests for exponentiated Frechet distribution. J Stat Manag Syst 16(1):13–24

    Google Scholar 

  4. Baklizi A, EL Masri AEK (2004) Acceptance sampling plan based on truncated life tests in the Birnbaum Saunders model. Risk Anal 24:1453–1457

    Article  Google Scholar 

  5. Balakrishnan N, Lieiva V, Lopez J (2007) Acceptance sampling plan from truncated life tests based on generalized Birnbaum Saunders distribution. Commun Stat Simul Comput 34(3):799–809

    Google Scholar 

  6. Coorey M, Ananda Malwane MA (2008) A generalization of the half-normal distribution with applications to lifetime data. Commun Stat Theory Methods 37(9):1323–1337

    Article  Google Scholar 

  7. Epstein B (1953) Life testing. J Am Stat Assoc 48(263):486–502

    Article  Google Scholar 

  8. Gupta SS (1962) Life test sampling plans for normal and log-normal distributions. Technometrics 4(2):151–175

    Article  Google Scholar 

  9. Gupta SS, Groll PA (1961) Gamma distribution in acceptance sampling based on life test. J Am Stat Assoc 56(296):942–970

    Article  Google Scholar 

  10. Lio YL, Tsai TR, Wu SJ (2010) Acceptance sampling plans from truncated life tests based on the Burr type XII percentiles. J Chin Inst Ind Eng 27(4):270–280

    Google Scholar 

  11. Montgomery DC, Jennings CL, Pfund ME (2011) Managing, controlling and improving quality. Wiley, New Jersey

    Google Scholar 

  12. Rosaiah K, Kantam RRL (2005) Acceptance sampling plan based on the inverse Rayleigh distribution. Econ Qual Control 20(2):77–286

    Article  Google Scholar 

  13. Stacy EW (1962) A generalization of the gamma distribution. Ann Math Stat 33(3):1187–1192

    Article  Google Scholar 

  14. Tsai TR, Wu SJ (2006) Acceptance sampling plan based on truncated life tests for generalized Rayleigh distribution. J Appl Stat 33:595–600

    Article  Google Scholar 

Download references

Acknowledgements

Authors thanked the Editor and Associate Editor of the Journal, and anonymous Reviewer for constructive suggestions which helped us to improve the earlier version of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Harsh Tripathi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The original version of this article was revised: In the original publication of the article, under the real life application section, Commas in the observation of real examples are misplaced and the observations are changed. The corrected numbers are given below: 10205, 10396, 10861, 11026, 11214, 11362, 11604, 11608, 11745, 11762, 11895 12044, 13520, 13670, 14110, 14496, 15395, 16179, 17092, 17568, 17568.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tripathi, H., Saha, M. & Alha, V. An Application of Time Truncated Single Acceptance Sampling Inspection Plan Based on Generalized Half-Normal Distribution. Ann. Data. Sci. 9, 1243–1255 (2022). https://doi.org/10.1007/s40745-020-00267-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40745-020-00267-z

Keywords

Navigation