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Failure time data analysis
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The concept ** Failure time data analysis** represents the subject, aboutness, idea or notion of resources found in **University of Missouri Libraries**.

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Failure time data analysis
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**Failure time data analysis**represents the subject, aboutness, idea or notion of resources found in**University of Missouri Libraries**.- Label
- Failure time data analysis

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- Accelerated life testing under competing exponential failure distributions
- Accelerated testing : statistical models, test plans and data analyses
- An aging failure survey of light water reactor safety systems and components
- An asymptotic theory for empirical reliability and concentration processes
- Analysis of survival data
- Bayesian survival analysis
- Burn-in : an engineering approach to the design and analysis of burn-in procedures
- Classical competing risks
- Counting processes and survival analysis
- Counting processes and survival analysis
- Dynamic regression models for survival data
- Failure analysis of binary address decoders
- Interval-censored time-to-event data : methods and applications
- Life testing and reliability estimation
- Life time data : statistical models and methods
- Lifetime data : models in reliability and survival analysis
- Modelling survival data in medical research
- Multiple imputation approaches to regression analysis of interval-censored failure time data
- Multivariate survival analysis and competing risks
- Multivariate survival analysis and competing risks
- Nonparametric analysis of interval-censored failure time data
- Nonparametric and semiparametric methods for interval-censored failure time data
- Nonparametric treatment comparisons for interval-censored failure time data
- On Maringale [sic] methods for the analysis of failure time data
- Predicting the failure of electric motors
- Quality, warranty, and preventive maintenance
- Recurrent events data analysis for product repairs, disease recurrences, and other applications
- Regression analysis of clustered interval-censored failure time data with informative cluster size
- Software reliability : statistical modeling, estimation and inference
- Statistical analysis of failure time data with missing information
- Statistical analysis of interval-censored and truncated survival data
- Statistical analysis of multivariate interval-censored failure time data
- Statistical analysis of multivariate interval-censored failure time data
- Statistical analysis of nonnormal data
- Statistical methods for survival data analysis
- Statistical methods for survival data analysis
- Statistical methods for survival data analysis : Elisa T. Lee, John Wenyu Wang
- Statistical models and methods for lifetime data
- Statistical studies of various time-to-fail distributions
- Subjective probability models for lifetimes
- Survival analysis
- Survival analysis : proceedings of the special topics meeting
- Survival models and data analysis
- Testing for proportional hazards and model selection within the class of proportional hazards
- The nonparametric analysis of interval-censored failure time data
- The statistical analysis of failure time data
- The statistical analysis of failure time data
- The statistical analysis of interval-censored failure time data
- The statistical analysis of interval-censored failure time data

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/SYRwLRaOkqw/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/SYRwLRaOkqw/">Failure time data analysis</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`