The lambda distribution is either of two probability distributions used in statistics:

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Poisson distribution

{n}{k}}\left({\frac {\lambda }{n}}\right)^{k}\,\left(1-{\frac {\lambda }{n}}\right)^{n-k}={\frac {\lambda ^{k}}{k!}}\,e^{-\lambda }} The Poisson distribution may also

Tukey lambda distribution

Formalized by John Tukey, the Tukey lambda distribution is a continuous, symmetric probability distribution defined in terms of its quantile function

Wilks's lambda distribution

In statistics, Wilks' lambda distribution (named for Samuel S. Wilks), is a probability distribution used in multivariate hypothesis testing, especially

Exponential distribution

an exponential distribution is f ( x ; λ ) = { λ e − λ x x ≥ 0 , 0 x < 0. {\displaystyle f(x;\lambda )={\begin{cases}\lambda e^{-\lambda x}&x\geq 0,\\0&x<0

Weibull distribution

\lambda )={\frac {k}{\lambda }}\left({\frac {x}{\lambda }}\right)^{-1-k}e^{-(x/\lambda )^{-k}}=f_{\rm {Weibull}}(x;-k,\lambda ).} The distribution of

Erlang distribution

{\displaystyle \lambda ,} the "rate". The "scale", β , {\displaystyle \beta ,} the reciprocal of the rate, is sometimes used instead. The Erlang distribution is the

Wishart distribution

distribution Inverse-Wishart distribution Multivariate gamma distribution Student's t-distribution Wilks' lambda distribution Wishart, J. (1928). "The generalised

Inverse Gaussian distribution

{\displaystyle (\varphi ,\lambda )} ⁠ parametrization. The inverse Gaussian distribution has several properties analogous to a Gaussian distribution. The name can