A GROUP ACCEPTANCE SAMPLING PLANS FOR TRUNCATED LIFE TESTS BASED ON THE INVERSE RAYLEIGH AND LOG-LOGISTIC DISTRIBUTIONS
By Muhammad Aslam, Chi-Hyuck Jun. 2009
104 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/e246d7c699193d6ad68087954b6b6b35cc4368d1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Rao G. Srinivasa
- Muhammad Aslam
- Tassaddaq Hussain
- Munir Ahmad
- Chi-Hyuck Jun
- G. Srinivasa Rao
- Amjad D. Al-Nasser
Citations in the corpus
- A group acceptance sampling plans based on truncated life tests for marshall - Olkin extended Lomax distribution (2009, methodology): “It can be seen from this table that the number of groups required for the Marshall- Olkin extended Lomax distribution are smaller than the groups required for inverse Rayleigh distribution and for the log-logistic distribution proposed by Aslam and Jun (2009).”
- DISCRETE INVERSE RAYLEIGH DISTRIBUTION (2014, methodology): “…(see Voda, 1972), record values from Inverse Rayleigh distribution are being used for prediction purposes in real life problems like weather, economic and support data (see Soliman et al., 2010) and used in acceptance sampling plans (see Rosaiah and Kantam (2005) and Aslam and Jun, 2009) etc.”
- A Group Acceptance Sampling Plans for Lifetimes Following a Generalized Exponential Distribution (2009, methodology): “It can be seen from Table 2 that the number of groups required for the generalized exponential distribution is larger than the number of groups required for the inverse Rayleigh distribution and for the log-logistic distribution proposed by Aslam and Jun [ 2 ] and for the Marshal-Olkin extended Loma”
- New acceptance sampling plans based on life tests for Birnbaum–Saunders distributions (2011, background): “Journal of Statistical Computation and Simulation Vol. 81, No. 4, April 2011, 461–470 New acceptance sampling plans based on life tests for Birnbaum–Saunders distributions Muhammad Aslama*, Chi-Hyuck Junb and Munir Ahmada aDepartment of Statistics, National College of Business Administration and Eco”