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  2. Vector autoregression - Wikipedia

    en.wikipedia.org/wiki/Vector_autoregression

    Sims advocated VAR models as providing a theory-free method to estimate economic relationships, thus being an alternative to the "incredible identification restrictions" in structural models. [6] VAR models are also increasingly used in health research for automatic analyses of diary data [7] or sensor data. Sio Iong Ao and R. E. Caraka found ...

  3. SVAR - Wikipedia

    en.wikipedia.org/wiki/SVAR

    SVAR may refer to: Vector autoregression#Structural vs. reduced form; National Archives of Sweden This page was last edited on 30 December 2019, at 06:08 (UTC) ...

  4. Unit root - Wikipedia

    en.wikipedia.org/wiki/Unit_root

    The first order autoregressive model, = +, has a unit root when =.In this example, the characteristic equation is =.The root of the equation is =.. If the process has a unit root, then it is a non-stationary time series.

  5. Two-alternative forced choice - Wikipedia

    en.wikipedia.org/wiki/Two-alternative_forced_choice

    Two-alternative forced choice (2AFC) is a method for measuring the sensitivity of a person or animal to some particular sensory input, stimulus, through that observer's pattern of choices and response times to two versions of the sensory input.

  6. Value at risk - Wikipedia

    en.wikipedia.org/wiki/Value_at_risk

    The 5% Value at Risk of a hypothetical profit-and-loss probability density function. Value at risk (VaR) is a measure of the risk of loss of investment/capital.It estimates how much a set of investments might lose (with a given probability), given normal market conditions, in a set time period such as a day.

  7. AOL Mail for Verizon Customers - AOL Help

    help.aol.com/products/aol-mail-verizon

    AOL Mail welcomes Verizon customers to our safe and delightful email experience!

  8. Likert scale - Wikipedia

    en.wikipedia.org/wiki/Likert_scale

    Non-parametric tests such as chi-squared test, Mann–Whitney test, Wilcoxon signed-rank test, or Kruskal–Wallis test. [ 16 ] are often used in the analysis of Likert scale data. Alternatively, Likert scale responses can be analyzed with an ordered probit model, preserving the ordering of responses without the assumption of an interval scale.

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