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  2. E-values - Wikipedia

    en.wikipedia.org/wiki/E-values

    That is: it is valid if it is an e-value. In fact, this reveals that e-values bounded to [, /] are rescaled randomized tests, that are continuously interpreted as evidence against the hypothesis. The standard e-value that takes value in [,] appears as a generalization of a level 0 test. [2]

  3. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    This relationship can be used to translate properties of expected values into properties of probabilities, e.g. using the law of large numbers to justify estimating probabilities by frequencies. The expected values of the powers of X are called the moments of X; the moments about the mean of X are expected values of powers of X − E[X].

  4. e (mathematical constant) - Wikipedia

    en.wikipedia.org/wiki/E_(mathematical_constant)

    The number e is a mathematical constant approximately equal to 2.71828 that is the base of the natural logarithm and exponential function.It is sometimes called Euler's number, after the Swiss mathematician Leonhard Euler, though this can invite confusion with Euler numbers, or with Euler's constant, a different constant typically denoted .

  5. Notation in probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Notation_in_probability...

    Greek letters (e.g. θ, β) are commonly used to denote unknown parameters (population parameters). [3]A tilde (~) denotes "has the probability distribution of". Placing a hat, or caret (also known as a circumflex), over a true parameter denotes an estimator of it, e.g., ^ is an estimator for .

  6. Law of total variance - Wikipedia

    en.wikipedia.org/wiki/Law_of_total_variance

    In cases where (,) are such that the conditional expected value is linear; that is, in cases where ⁡ = +, it follows from the bilinearity of covariance that = ⁡ (,) ⁡ and = ⁡ ⁡ (,) ⁡ ⁡ and the explained component of the variance divided by the total variance is just the square of the correlation between and ; that is, in such ...

  7. Conditional expectation - Wikipedia

    en.wikipedia.org/wiki/Conditional_expectation

    In probability theory, the conditional expectation, conditional expected value, or conditional mean of a random variable is its expected value evaluated with respect to the conditional probability distribution. If the random variable can take on only a finite number of values, the "conditions" are that the variable can only take on a subset of ...

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  9. Glossary of probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_probability...

    In inferential statistics, a range of plausible values for some unknown parameter, such as a population mean, defined as an interval with a lower bound and an upper bound. [2] The precise values of these bounds are calculated from a pre-determined confidence level, chosen by the researcher. The confidence level represents the frequency of ...