Test Based on Log-Logistic Distribution

The Zografos–Balakrishnan-log-logistic Distribution

Tthe Zografos–Balakrishnan-log-logistic (ZBLL) distribution is a new distribution of three parameters that has been introduced by Ramos et el. [1], and They presented some properties of the new distribution such as its probability density function, The cumulative distribution function, The  moment generating function, its hazard (failure) rate function, quantiles and moments, Rényi and Shannon ...

Extreme Value Charts and Analysis of Means (ANOM) Based on the Log Logistic Distribution

A New Acceptance Sampling Plans Based on Percentiles for Odds Exponential Log Logistic Distribution

In this paper, acceptance sampling plans are developed for the odds exponential log logistic distribution (OELLD) introduced by Rosaiah et al. [1] based on lifetime percentiles when the life test is truncated at a predetermined time. The minimum sample size necessary to ensure the specified lifetime percentile is obtained under a given customer’s risk. The operating characteristic values of the...

A Hybrid Group Acceptance Sampling Plans for Lifetimes Based on Log-logistic Distribution

In this paper, a hybrid group acceptance sampling plan is developed for a truncated life test when the lifetime of an item follows log-logistic distribution. The minimum number of testers and acceptance number are determined when the consumer’s risk and the test termination time and group size are specified. The operating characteristic values according to various quality levels are found and t...

Bayes approach to study scale parameter of log logistic distribution

Scale parameter of Log logistic distribution has been studied using Bayesian approach. Posterior distribution has derived by using non informative prior. Posterior distribution is not in close form so we have work with quadrature numerical integration. Various loss functions has been utilized to derive the Bayes estimators and their corresponding risks. Simulation study has been performed to co...