Acceptance Sampling Plans from Truncated Life Tests Based on the Generalized Birnbaum–Saunders Distribution

By Narayanaswamy Balakrishnan, Víctor Leiva, Jorge López. Communications in statistics. Simulation and computation, 2007

332 citations recorded by the source corpus.

Subfields: Safety, Risk, Reliability and Quality, Software, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5393939d53b7491911938d954b79725957f3c0ea

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety, Risk, Reliability and Quality

1. Víctor Leiva
2. Narayanaswamy Balakrishnan
3. Antonio Sanhueza
4. Amjad D. Al-Nasser
5. Amer Ibrahim Al-Omari
6. Filidor V. Vilca
7. Muhammad Aslam
8. Chi-Hyuck Jun

In Software

1. Antonio Sanhueza
2. Muhammad Aslam
3. Chi-Hyuck Jun
4. Amjad D. Al-Nasser
5. Amer Ibrahim Al-Omari
6. Filidor V. Vilca
7. Narayanaswamy Balakrishnan
8. Víctor Leiva

In Statistics and Probability

1. Debasis Kundu
2. Narayanaswamy Balakrishnan
3. Muhammad Aslam
4. Víctor Leiva
5. Amer Ibrahim Al-Omari
6. Amjad D. Al-Nasser
7. Filidor V. Vilca
8. Antonio Sanhueza

Citations in the corpus

• Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm (2009, methodology): “The tν -BS distribution can be used for obtaining qualitatively robust parameter estimates with respect to the BS distribution; see Balakrishnan et al. (2007), Leiva et al.”
• Time truncated acceptance sampling plans for generalized exponential distribution (2010, background): “[4] provide the time truncated acceptance plans for half-logistics, log-logistics, Rayleigh and generalized Birnbaum–Saunders distributions, respectively.”
• A Group Acceptance Sampling Plans for Lifetimes Following a Generalized Exponential Distribution (2009, background): “[7], Aslam [1], Aslam and Shahbaz [4], Aslam and Kantam [3] and Srinivasa Rao et.”
• The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application (2008, methodology): “( 2007 ) argued that while a software program is operating, the development of intangible cumulative damage deteriorates the performance of this software and so they used the GBS distribution for modeling the times from the start of the execution of the software until the failure of the software is ”
• A Skewed Sinh-Normal Distribution and Its Properties and Application to Air Pollution (2010, methodology): “For other more recent studies on lifetime analysis about BS type distributions, see also Balakrishnan et al. (2007) and Leiva et al. (2008a). A lifetime analysis for the EBS distribution is given in the following theorems.”
• Acceptance sampling plan based on truncated life tests for exponentiated fréchet distribution (2013, methodology): “We assume that the life time of the product follows an EFD defi ned by (3) and (4) with scale parameter 0 2 v .”
• A group acceptance sampling plan for truncated life test having Weibull distribution (2009, neutral): “[3] for the generalized Birnbaum–Saunders distribution.”
• New acceptance sampling plans based on life tests for Birnbaum–Saunders distributions (2011, background): “[5] for a generalized Birnbaum– Saunders (BS) distribution, Rosaiah et al.”
• A double acceptance sampling plan for generalized log-logistic distributions with known shape parameters (2010, result): “[4] pointed out, there seems to be some conceptual errors in deriving their results.”