Home           Contact us           FAQs           
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
2012 (Vol. 4, Issue: 23)
Article Information:

Bayesian Sampling Inspection for Resubmitted Lots Under Gamma-Poisson Distribution

Muhammad Aslam, Saminathan Balamurali, Chi-Hyuck Jun and Munir Ahmad
Corresponding Author:  Muhammad Aslam 

Key words:  Gamma-Poisson distribution , producerís risk and consumerís risk, resampling plan, resubmitted sampling, , ,
Vol. 4 , (23): 5171-5176
Submitted Accepted Published
April 12, 2012 May 10, 2012 December 01, 2012

The present study proposes an attributes sampling plan under the gamma-Poisson distribution for the resubmitted lots. The design parameters of the proposed plan such as the sample number and the acceptance number are determined by using two points on operating characteristics curve such that both the producerís and the consumerís risks are satisfied for some specified values of acceptable quality level and rejectable quality level. The parameters are selected using the minimum average sample number criteria. Extensive tables are provided for some selected combinations of two quality levels and the results are explained with examples.
Abstract PDF HTML
  Cite this Reference:
Muhammad Aslam, Saminathan Balamurali, Chi-Hyuck Jun and Munir Ahmad, 2012. Bayesian Sampling Inspection for Resubmitted Lots Under Gamma-Poisson Distribution.  Research Journal of Applied Sciences, Engineering and Technology, 4(23): 5171-5176.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved