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  2. Zero-truncated Poisson distribution - Wikipedia

    en.wikipedia.org/wiki/Zero-truncated_Poisson...

    Random variables sampled from the zero-truncated Poisson distribution may be achieved using algorithms derived from Poisson distribution sampling algorithms. [5] init: Let k ← 1, t ← e −λ / (1 - e −λ) * λ, s ← t. Generate uniform random number u in [0,1]. while s < u do: k ← k + 1. t ← t * λ / k. s ← s + t. return k.

  3. Log-logistic distribution - Wikipedia

    en.wikipedia.org/wiki/Log-logistic_distribution

    There are several different parameterizations of the distribution in use. The one shown here gives reasonably interpretable parameters and a simple form for the cumulative distribution function. [4] [5] The parameter > is a scale parameter and is also the median of the distribution.

  4. Hodrick–Prescott filter - Wikipedia

    en.wikipedia.org/wiki/Hodrick–Prescott_filter

    The Hodrick–Prescott filter (also known as Hodrick–Prescott decomposition) is a mathematical tool used in macroeconomics, especially in real business cycle theory, to remove the cyclical component of a time series from raw data.

  5. Logistic distribution - Wikipedia

    en.wikipedia.org/wiki/Logistic_distribution

    An alternative parameterization of the logistic distribution can be derived by expressing the scale parameter, , in terms of the standard deviation, , using the substitution =, where = / = …. The alternative forms of the above functions are reasonably straightforward.

  6. Tukey lambda distribution - Wikipedia

    en.wikipedia.org/wiki/Tukey_lambda_distribution

    The Tukey lambda distribution has a single shape parameter, λ, and as with other probability distributions, it can be transformed with a location parameter, μ, and a scale parameter, σ. Since the general form of probability distribution can be expressed in terms of the standard distribution, the subsequent formulas are given for the standard ...

  7. Recursive least squares filter - Wikipedia

    en.wikipedia.org/wiki/Recursive_least_squares_filter

    The goal is to estimate the parameters of the filter , and at each time we refer to the current estimate as and the adapted least-squares estimate by +. w n {\displaystyle \mathbf {w} _{n}} is also a column vector, as shown below, and the transpose , w n T {\displaystyle \mathbf {w} _{n}^{\mathit {T}}} , is a row vector .

  8. Exponentially modified Gaussian distribution - Wikipedia

    en.wikipedia.org/wiki/Exponentially_modified...

    There are three parameters: the mean of the normal distribution (μ), the standard deviation of the normal distribution (σ) and the exponential decay parameter (τ = 1 / λ). The shape K = τ / σ is also sometimes used to characterise the distribution. Depending on the values of the parameters, the distribution may vary in shape from almost ...

  9. Nested function - Wikipedia

    en.wikipedia.org/wiki/Nested_function

    In PHP and other languages, the lambda is an alternative. A function is defined in a code statement rather than declared with the usual function syntax. It has no name but is callable via a function reference. Such functions can be defined inside of a function as well as in other scopes. To use local variables in the anonymous function, use ...