Optimal Cusum Control Chart for Censored Reliability Data with Log-logistic Distribution

A Distribution-Free Tabular CUSUM Chart for Autocorrelated Data

A distribution-free tabular CUSUM chart is designed to detect shifts in the mean of an autocorrelated process. The chart’s average run length (ARL) is approximated by generalizing Siegmund’s ARL approximation for the conventional tabular CUSUM chart based on independent and identically distributed normal observations. Control limits for the new chart are computed from the generalized ARL approx...

Estimation of Parameters for an Extended Generalized Half Logistic Distribution Based on Complete and Censored Data

This paper considers an Extended Generalized Half Logistic distribution. We derive some properties of this distribution and then we discuss estimation of the distribution parameters by the methods of moments, maximum likelihood and the new method of minimum spacing distance estimator based on complete data. Also, maximum likelihood equations for estimating the parameters based on Type-I and Typ...

Parameter Estimation of Type-I and Type-II Hybrid Censored Data from the Log- Logistic Distribution

Author Note: Seunggeun Hyun, Associate Professor of Statistics, has published numerous articles in failure-time data analysis and has become more involved in reliability engineering and risk analysis in recent years. Jimin Lee, Associate Professor of Statistics, has published a significant number of articles in survival analysis and industrial engineering. Robert Yearout, Professor of Industria...

The evaluation of robust and efficient estimators for log-logistic distribution for censored data with/without outliers)

Log-logistic Distribution as a Reliability Model: A Bayesian Analysis

Log-logistic distribution is a very important reliability model as it fits well in many practical situations of reliability data analyses. Another important feature with the log-logistic distribution lies in its closed form expression for survival and hazard functions that makes it advantageous over log-normal distribution. It is therefore more convenient in handling censored data than the log-...