A Comparison of Methods for Analyzing Censored Life Data to Estimate Relationships Between Stress and Product Life
- 1 April 1974
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Reliability
- Vol. R-23 (1), 2-11
- https://doi.org/10.1109/TR.1974.5215696
Abstract
This article briefly reviews graphical, maximum likelihood, and linear estimation methods for analyzing censored life data to estimate relationships between stress and product life. Each method is illustrated by an example dealing with accelerated life test data on motor insulation. The advantages and disadvantages of the methods are compared to guide the choice of a method for a given application.Keywords
This publication has 17 references indexed in Scilit:
- Analysis of Residuals from Censored DataTechnometrics, 1973
- Linear Estimation of a Regression Relationship from Censored Data: Part II Best Linear Unbiased Estimation and TheoryTechnometrics, 1973
- Statistical Inference from Censored Weibull SamplesTechnometrics, 1972
- Analysis of Accelerated Life Test Data-Part III: Product Comparisons and Checks on the Validity of the Model and DataIEEE Transactions on Electrical Insulation, 1972
- Linear Estimation of a Regression Relationship from Censored Data Part I: Simple Methods and Their ApplicationTechnometrics, 1972
- Analysis of Accelerated Life Test Data - Part II: Numerical Methods and Test PlanningIEEE Transactions on Electrical Insulation, 1972
- Graphical Analysis of Accelerated Life Test Data with the Inverse Power Law ModelIEEE Transactions on Reliability, 1972
- Analysis of Accelerated Life Test Data - Part I: The Arrhenius Model and Graphical MethodsIEEE Transactions on Electrical Insulation, 1971
- Use of Concomitant Variables and Incomplete Survival Information in the Estimation of an Exponential Survival ParameterBiometrics, 1966
- Iterative Maximum-Likelihood Estimation of the Parameters of Normal Populations from Singly and Doubly Censored SamplesBiometrika, 1966