PLAYGROUND

ECUACIONES DISTRIBUCIÓN LAPLACE DISCRETA

Definición de distribución

XDiscreteLaplace(a,Loc)X\sim\mathrm{DiscreteLaplace}\left(a,\text{Loc}\right)

Dominio de distribución

xLoc+Z{,Loc1,Loc,Loc+1,}x\in\text{Loc}+\mathbb{Z}\equiv\left\{\dots,\text{Loc}-1,\text{Loc},\text{Loc}+1,\dots\right\}

Dominio y restricciones de parámetros

aR+,LocZa\in\mathbb{R}^{+},\text{Loc}\in\mathbb{Z}

Función de distribución acumulada

FX(x)={ea(xLoc+1)1+eaif x<Loc1ea(xLoc)1+eaif xLocF_{X}\left(x\right)=\left\{\begin{array}{cl}\dfrac{e^{a\left(x-\text{Loc}+1\right)}}{1+e^{a}} & \text{if } x < \text{Loc} \\[6pt] 1-\dfrac{e^{-a\left(x-\text{Loc}\right)}}{1+e^{a}} & \text{if } x \geq \text{Loc} \end{array}\right.

Función de masa de Probabilidad

fX(x)=tanh ⁣(a2)eaxLocf_{X}\left(x\right)=\tanh\!\left(\frac{a}{2}\right)e^{-a\left|x-\text{Loc}\right|}

Función de punto percentil

FX1(u)=Loc+{ln ⁣(u(1+ea))a1if u<12ln ⁣((1u)(1+ea))aif u12F^{-1}_{X}\left(u\right)=\text{Loc}+\left\{\begin{array}{cl}\left\lceil\dfrac{\ln\!\left(u\left(1+e^{a}\right)\right)}{a}-1\right\rceil & \text{if } u < \tfrac{1}{2} \\[6pt] \left\lceil-\dfrac{\ln\!\left(\left(1-u\right)\left(1+e^{a}\right)\right)}{a}\right\rceil & \text{if } u \geq \tfrac{1}{2} \end{array}\right.

Momentos centrados paramétricos

E[Xk]=μk=xLoc+ZxkfX(x)E[X^k]=\mu'_{k}=\sum_{x\in\text{Loc}+\mathbb{Z}}x^{k}f_{X}\left(x\right)

Media paramétrica

Mean(X)=μ1=Loc\mathrm{Mean}(X)=\mu'_{1}=\text{Loc}

Varianza paramétrica

Variance(X)=(μ2μ12)=2ea(1ea)2\mathrm{Variance}(X)=(\mu'_{2}-\mu'^{2}_{1})=\dfrac{2e^{-a}}{\left(1-e^{-a}\right)^{2}}

Coeficiente de asimetría paramétrico

Skewness(X)=μ33μ2μ1+2μ13(μ2μ12)1.5=0\mathrm{Skewness}(X)=\frac{\mu'_{3}-3\mu'_{2}\mu'_{1}+2\mu'^{3}_{1}}{(\mu'_{2}-\mu'^{2}_{1})^{1.5}}=0

Curtosis paramétrica

Kurtosis(X)=μ44μ1μ3+6μ12μ23μ14(μ2μ12)2=5+cosh(a)\mathrm{Kurtosis}(X)=\frac{\mu'_{4}-4\mu'_{1}\mu'_{3}+6\mu'^{2}_{1}\mu'_{2}-3\mu'^{4}_{1}}{(\mu'_{2}-\mu'^{2}_{1})^{2}}=5+\cosh(a)

Mediana paramétrica

Median(X)=Loc\mathrm{Median}(X)=\text{Loc}

Moda paramétrica

Mode(X)=Loc\mathrm{Mode}(X)=\text{Loc}

Información y definiciones adicionales

a:Shape parameter, controls how rapidly the PMF decays from Loca:\text{Shape parameter, controls how rapidly the PMF decays from }\text{Loc}
Loc:Integer location parameter (peak of the distribution)\text{Loc}:\text{Integer location parameter (peak of the distribution)}
u:Uniform[0,1] random varibleu:\text{Uniform[0,1] random varible}
tanh ⁣(a2)=1ea1+ea\tanh\!\left(\tfrac{a}{2}\right)=\dfrac{1-e^{-a}}{1+e^{-a}}
cosh(a)=12 ⁣(ea+ea)\cosh(a)=\tfrac{1}{2}\!\left(e^{a}+e^{-a}\right)
x:Floor function\lfloor{x}\rfloor: \text{Floor function}
x:Ceiling Function\lceil{x}\rceil: \text{Ceiling Function}