Journal Article10.1007/S11668-017-0251-1
Study on Processing Method and Engineering Application of Censored Data
Yuanyuan Ma,Liyang Xie +1 more
1
TL;DR: It is shown that the practice of simply ignoring censored data will underestimate the fatigue performance of the test sample in different degrees after analysis and comparison of the two results.
read more
Abstract: The method and effects of extracting information from different fatigue test data were analyzed and compared according to the test data in engineering in this paper. By probability statistical analysis, the life data of ignored censored data were collected and analyzed to fit the distribution types and P–S–N curves. Otherwise, the life data including censored data were estimated by maximum likelihood estimation and K–S test. It is shown that the practice of simply ignoring censored data will underestimate the fatigue performance of the test sample in different degrees after analysis and comparison of the two results. Therefore, according to different types of test data, the influence of censored data should be considered fully in order to select the appropriate treatment method. Censored data in engineering usually should not be ignored.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Interval statistic based reliability analysis method on small sample hot test of satellite thruster
TL;DR: A novel interval statistic based reliability analysis method is proposed, which can fulfill the life information from the failure time to the censored time ignored by conventional methods, and improve the assessment accuracy.
15
References
Statistical Models and Methods for Lifetime Data.
Brian Francis,Jerald F. Lawless +1 more
Abstract: Basic Concepts and Models. Observation Schemes, Censoring and Likelihood. Some Nonparametric and Graphical Procedures. Inference Procedures for Parametric Models. Inference procedures for Log-Location-Scale Distributions. Parametric Regression Models. Semiparametric Multiplicative Hazards Regression Models. Rank-Type and Other Semiparametric Procedures for Log-Location-Scale Models. Multiple Modes of Failure. Goodness of Fit Tests. Beyond Univariate Survival Analysis. Appendix A. Glossary of Notation and Abbreviations. Appendix B. Asymptotic Variance Formulas, Gamma Functions and Order Statistics. Appendix C. Large Sample Theory for Likelihood and Estimating Function Methods. Appendix D. Computational Methods and Simulation. Appendix E. Inference in Location-Scale Parameter Models. Appendix F. Martingales and Counting Processes. Appendix G. Data Sets. References.
3.7K
Statistical Models and Methods for Lifetime Data
TL;DR: This book describes and illustrates how to compute a simple “naive” variance estimate and con dence intervals that would be correct under the assumption of an underlying nonhomogeneous Poisson process model.
3.4K
•Book
Statistical Methods for Reliability Data
Wayne Nelson
- 24 Jul 1998
TL;DR: In this paper, the use of Bayesian methods for reliability data is discussed and a detailed discussion of the application of these methods in the context of automated life test planning is presented.
Processing and characterization of nanostructured Cu-carbon nanotube composites
TL;DR: Carbon nanotube reinforced nanostructured Cu matrix composite with a grain size less than 25 nm has been successfully fabricated via a combination of ball milling and high pressure torsion as mentioned in this paper.
Empirical Likelihood for a Class of Functionals of Survival Distribution with Censored Data
Qihua Wang,Bing-Yi Jing +1 more
TL;DR: In this paper, an adjusted empirical likelihood was defined and compared with the Studentized-t method. But the results indicated that the empirical likelihood method works better than or equally to the Studentised-T method, depending on the situations.
60