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  2. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    Expected values can also be used to compute the variance, by means of the computational formula for the variance ⁡ = ⁡ [] (⁡ []). A very important application of the expectation value is in the field of quantum mechanics .

  3. Pythagorean expectation - Wikipedia

    en.wikipedia.org/wiki/Pythagorean_expectation

    Initially the correlation between the formula and actual winning percentage was simply an experimental observation. In 2003, Hein Hundal provided an inexact derivation of the formula and showed that the Pythagorean exponent was approximately 2/(σ √ π) where σ was the standard deviation of runs scored by all teams divided by the average number of runs scored. [8]

  4. Expected return - Wikipedia

    en.wikipedia.org/wiki/Expected_return

    The expected return (or expected gain) on a financial investment is the expected value of its return (of the profit on the investment). It is a measure of the center of the distribution of the random variable that is the return. [1] It is calculated by using the following formula: [] = = where

  5. Coverage probability - Wikipedia

    en.wikipedia.org/wiki/Coverage_probability

    By contrast, the (true) coverage probability is the actual probability that the interval contains the parameter. If all assumptions used in deriving a confidence interval are met, the nominal coverage probability will equal the coverage probability (termed "true" or "actual" coverage probability for emphasis).

  6. Mean squared error - Wikipedia

    en.wikipedia.org/wiki/Mean_squared_error

    To minimize MSE, the model could be more accurate, which would mean the model is closer to actual data. One example of a linear regression using this method is the least squares method —which evaluates appropriateness of linear regression model to model bivariate dataset , [ 6 ] but whose limitation is related to known distribution of the data.

  7. Experience modifier - Wikipedia

    en.wikipedia.org/wiki/Experience_modifier

    Primary losses show up as both I and E in the above formula, E is for "Expected" primary losses vs actual. This expected value is determined based on a company's payroll cost with a little actuarial calculations. Stabilizing Value This is a calculation based on expected excess losses, a weighting factor, and a Ballast factor. The weighting ...

  8. Fisher equation - Wikipedia

    en.wikipedia.org/wiki/Fisher_equation

    The Fisher equation can be used in the analysis of bonds.The real return on a bond is roughly equivalent to the nominal interest rate minus the expected inflation rate. But if actual inflation exceeds expected inflation during the life of the bond, the bondholder's real return will suffer.

  9. Real and nominal value - Wikipedia

    en.wikipedia.org/wiki/Real_and_nominal_value

    Comparison of real and nominal gas prices 1996 to 2016, illustrating the formula for conversion. Here the base year is 2016. The price index is applied to adjust the nominal value Q {\displaystyle Q} of a quantity, such as wages or total production, to obtain its real value.