Related Experiment Video
Updated: Oct 7, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
A New Variable-Censoring Control Chart Using Lifetime Performance Index under Exponential and Weibull Distributions
Muhammad Aslam1, P Jeyadurga2, S Balamurali2
1Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Abstract:
In reliability theory or life testing, exponential distribution and Weibull distribution are frequently considered to model the lifetime of the components or systems. In this paper, we design a control chart based on the lifetime performance index using Type II censoring for exponential and Weibull distributions. Average run length helps to measure the performance of the proposed control chart. The optimal values of the number of failure items and decision criteria used to decide whether the process is in-control or out-of-control based on the sample results are determined such that the in-control average run length is as close as to the specified average run length values. We simulate the data to illustrate the performance of the proposed control chart.
Related Concept Videos
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Censoring Survival Data
Kaplan-Meier Approach
Regression Toward the Mean
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The X̄ Chart
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...

