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  2. Reliability (statistics) - Wikipedia

    en.wikipedia.org/wiki/Reliability_(statistics)

    In practice, testing measures are never perfectly consistent. Theories of test reliability have been developed to estimate the effects of inconsistency on the accuracy of measurement. The basic starting point for almost all theories of test reliability is the idea that test scores reflect the influence of two sorts of factors: [7]

  3. Software reliability testing - Wikipedia

    en.wikipedia.org/wiki/Software_reliability_testing

    Software reliability is the probability that software will work properly in a specified environment and for a given amount of time. Using the following formula, the probability of failure is calculated by testing a sample of all available input states.

  4. Reliability engineering - Wikipedia

    en.wikipedia.org/wiki/Reliability_engineering

    Reliability engineering is a sub-discipline of systems engineering that emphasizes the ability of equipment to function without failure. Reliability is defined as the probability that a product, system, or service will perform its intended function adequately for a specified period of time, OR will operate in a defined environment without failure. [1]

  5. Inter-rater reliability - Wikipedia

    en.wikipedia.org/wiki/Inter-rater_reliability

    In statistics, inter-rater reliability (also called by various similar names, such as inter-rater agreement, inter-rater concordance, inter-observer reliability, inter-coder reliability, and so on) is the degree of agreement among independent observers who rate, code, or assess the same phenomenon.

  6. Failure rate - Wikipedia

    en.wikipedia.org/wiki/Failure_rate

    From field failure rate reports, statistical analysis techniques can be used to estimate failure rates. For accurate failure rates the analyst must have a good understanding of equipment operation, procedures for data collection, the key environmental variables impacting failure rates, how the equipment is used at the system level, and how the ...

  7. Cohen's kappa - Wikipedia

    en.wikipedia.org/wiki/Cohen's_kappa

    Cohen's kappa measures the agreement between two raters who each classify N items into C mutually exclusive categories. The definition of is =, where p o is the relative observed agreement among raters, and p e is the hypothetical probability of chance agreement, using the observed data to calculate the probabilities of each observer randomly selecting each category.

  8. Survival analysis - Wikipedia

    en.wikipedia.org/wiki/Survival_analysis

    In reliability problems, the expected lifetime is called the mean time to failure, and the expected future lifetime is called the mean residual lifetime. As the probability of an individual surviving until age t or later is S ( t ), by definition, the expected number of survivors at age t out of an initial population of n newborns is n × S ( t ...

  9. Internal consistency - Wikipedia

    en.wikipedia.org/wiki/Internal_consistency

    Alpha is also a function of the number of items, so shorter scales will often have lower reliability estimates yet still be preferable in many situations because they are lower burden. An alternative way of thinking about internal consistency is that it is the extent to which all of the items of a test measure the same latent variable. The ...