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  2. Erlang (unit) - Wikipedia

    en.wikipedia.org/wiki/Erlang_(unit)

    The Erlang B formula (or Erlang-B with a hyphen), also known as the Erlang loss formula, is a formula for the blocking probability that describes the probability of call losses for a group of identical parallel resources (telephone lines, circuits, traffic channels, or equivalent), sometimes referred to as an M/M/c/c queue. [5]

  3. Propagation of uncertainty - Wikipedia

    en.wikipedia.org/wiki/Propagation_of_uncertainty

    Any non-linear differentiable function, (,), of two variables, and , can be expanded as + +. If we take the variance on both sides and use the formula [11] for the variance of a linear combination of variables ⁡ (+) = ⁡ + ⁡ + ⁡ (,), then we obtain | | + | | +, where is the standard deviation of the function , is the standard deviation of , is the standard deviation of and = is the ...

  4. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    Law of the unconscious statistician: The expected value of a measurable function of , (), given that has a probability density function (), is given by the inner product of and : [34] ⁡ [()] = (). This formula also holds in multidimensional case, when g {\displaystyle g} is a function of several random variables, and f {\displaystyle f} is ...

  5. Index of dispersion - Wikipedia

    en.wikipedia.org/wiki/Index_of_dispersion

    In probability theory and statistics, the index of dispersion, [1] dispersion index, coefficient of dispersion, relative variance, or variance-to-mean ratio (VMR), like the coefficient of variation, is a normalized measure of the dispersion of a probability distribution: it is a measure used to quantify whether a set of observed occurrences are clustered or dispersed compared to a standard ...

  6. L-moment - Wikipedia

    en.wikipedia.org/wiki/L-moment

    For a random variable X, the r th population L-moment is [1] = = () ⁡ { : } , where X k:n denotes the k th order statistic (k th smallest value) in an independent sample of size n from the distribution of X and denotes expected value operator.

  7. Mean squared displacement - Wikipedia

    en.wikipedia.org/wiki/Mean_squared_displacement

    The probability density function (PDF) for a particle in one dimension is found by solving the one-dimensional diffusion equation. (This equation states that the position probability density diffuses out over time - this is the method used by Einstein to describe a Brownian particle.

  8. Sam's Club is boosting employee pay. Here's how it ... - AOL

    www.aol.com/sams-club-boosting-employee-pay...

    Sam's Club is changing the way it pays employees in an attempt to attract and retain quality talent in a tight labor market. The Walmart-owned membership retailer announced Tuesday it's increasing ...

  9. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable.The general form of its probability density function is [2] [3] = ().