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  2. Assumption of risk - Wikipedia

    en.wikipedia.org/wiki/Assumption_of_risk

    Assumption of risk is a defense, specifically an affirmative defense, in the law of torts, which bars or reduces a plaintiff's right to recovery against a negligent tortfeasor if the defendant can demonstrate that the plaintiff voluntarily and knowingly assumed the risks at issue inherent to the dangerous activity in which the plaintiff was participating at the time of their injury.

  3. Independent and identically distributed random variables

    en.wikipedia.org/wiki/Independent_and...

    A random sample can be thought of as a set of objects that are chosen randomly. More formally, it is "a sequence of independent, identically distributed (IID) random data points." In other words, the terms random sample and IID are synonymous. In statistics, "random sample" is the typical terminology, but in probability, it is more common to ...

  4. Coherent risk measure - Wikipedia

    en.wikipedia.org/wiki/Coherent_risk_measure

    Value at risk is, however, coherent, under the assumption of elliptically distributed losses (e.g. normally distributed) when the portfolio value is a linear function of the asset prices. However, in this case the value at risk becomes equivalent to a mean-variance approach where the risk of a portfolio is measured by the variance of the ...

  5. Bootstrapping (statistics) - Wikipedia

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

    Based on the assumption that the original data set is a realization of a random sample from a distribution of a specific parametric type, in this case a parametric model is fitted by parameter θ, often by maximum likelihood, and samples of random numbers are drawn from this fitted model. Usually the sample drawn has the same sample size as the ...

  6. Empirical risk minimization - Wikipedia

    en.wikipedia.org/wiki/Empirical_risk_minimization

    In general, the risk () cannot be computed because the distribution (,) is unknown to the learning algorithm. However, given a sample of iid training data points, we can compute an estimate, called the empirical risk, by computing the average of the loss function over the training set; more formally, computing the expectation with respect to the empirical measure:

  7. Wilcoxon signed-rank test - Wikipedia

    en.wikipedia.org/wiki/Wilcoxon_signed-rank_test

    The Wilcoxon signed-rank test is a non-parametric rank test for statistical hypothesis testing used either to test the location of a population based on a sample of data, or to compare the locations of two populations using two matched samples. [1] The one-sample version serves a purpose similar to that of the one-sample Student's t-test. [2]

  8. Assumption-based planning - Wikipedia

    en.wikipedia.org/wiki/Assumption-based_planning

    Assumption-based planning in project management is a post-planning method that helps companies to deal with uncertainty. It is used to identify the most important assumptions in a company's business plans , to test these assumptions, and to accommodate unexpected outcomes.

  9. 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]