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  2. Nelson–Aalen estimator - Wikipedia

    en.wikipedia.org/wiki/Nelson–Aalen_estimator

    The Nelson–Aalen estimator is a non-parametric estimator of the cumulative hazard rate function in case of censored data or incomplete data. [1] It is used in survival theory, reliability engineering and life insurance to estimate the cumulative number of expected events.

  3. Survival analysis - Wikipedia

    en.wikipedia.org/wiki/Survival_analysis

    Survival analysis is a branch of statistics for analyzing the expected duration of time until one event occurs, such as death in biological organisms and failure in mechanical systems. This topic is called reliability theory , reliability analysis or reliability engineering in engineering , duration analysis or duration modelling in economics ...

  4. Likelihood function - Wikipedia

    en.wikipedia.org/wiki/Likelihood_function

    The log-likelihood function being plotted is used in the computation of the score (the gradient of the log-likelihood) and Fisher information (the curvature of the log-likelihood). Thus, the graph has a direct interpretation in the context of maximum likelihood estimation and likelihood-ratio tests .

  5. Risk assessment - Wikipedia

    en.wikipedia.org/wiki/Risk_assessment

    Risk assessment determines possible mishaps, their likelihood and consequences, and the tolerances for such events. [1] [2] The results of this process may be expressed in a quantitative or qualitative fashion. Risk assessment is an inherent part of a broader risk management strategy to help reduce any potential risk-related consequences. [1] [3]

  6. Likelihood principle - Wikipedia

    en.wikipedia.org/wiki/Likelihood_principle

    In frequentist inference, the likelihood ratio is used in the likelihood-ratio test, but other non-likelihood tests are used as well. The Neyman–Pearson lemma states the likelihood-ratio test is equally statistically powerful as the most powerful test for comparing two simple hypotheses at a given significance level , which gives a ...

  7. Common cause and special cause (statistics) - Wikipedia

    en.wikipedia.org/wiki/Common_cause_and_special...

    A special-cause failure is a failure that can be corrected by changing a component or process, whereas a common-cause failure is equivalent to noise in the system and specific actions cannot be made to prevent the failure. Harry Alpert observed: A riot occurs in a certain prison.

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  9. Failure analysis - Wikipedia

    en.wikipedia.org/wiki/Failure_analysis

    Failure analysis is the process of collecting and analyzing data to determine the cause of a failure, often with the goal of determining corrective actions or liability. According to Bloch and Geitner, ”machinery failures reveal a reaction chain of cause and effect… usually a deficiency commonly referred to as the symptom…”. [ 1 ]