Difference between revisions of "Notes:Probability of an RV being less than another"
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(Created page with "{{ProbMacros}} __TOC__ ==Notes== Here I investigate: # {{M|\P{X\le Y} }}, and # {{M|\P{X\le Y\le Z} }} which of course is short for {{M|\P{\big(X\le Y\big)\cap\big(Y\le Z\big)...") |
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{{ProbMacros}} | {{ProbMacros}} | ||
+ | ::: {{Green highlight|This was solved/worked out, see: [[Probability of i.i.d random variables being in an order and not greater than something]]}} | ||
__TOC__ | __TOC__ | ||
+ | ==Solution== | ||
+ | * {{MM|\P{X\le Y\le Z}\eq\sum_z\sum_{y\le z}\sum_{x\le y}\P{X\eq x\cap Y\eq y\cap Z\eq z} }} - ''duh!'' - silly me! | ||
+ | ** Integral form is obvious. | ||
+ | =SILLY STUFF= | ||
==Notes== | ==Notes== | ||
Here I investigate: | Here I investigate: |
Latest revision as of 03:44, 12 December 2017
[ilmath]\newcommand{\P}[2][]{\mathbb{P}#1{\left[{#2}\right]} } \newcommand{\Pcond}[3][]{\mathbb{P}#1{\left[{#2}\!\ \middle\vert\!\ {#3}\right]} } \newcommand{\Plcond}[3][]{\Pcond[#1]{#2}{#3} } \newcommand{\Prcond}[3][]{\Pcond[#1]{#2}{#3} }[/ilmath]
[ilmath]\newcommand{\E}[1]{ {\mathbb{E}{\left[{#1}\right]} } } [/ilmath][ilmath]\newcommand{\Mdm}[1]{\text{Mdm}{\left({#1}\right) } } [/ilmath][ilmath]\newcommand{\Var}[1]{\text{Var}{\left({#1}\right) } } [/ilmath][ilmath]\newcommand{\ncr}[2]{ \vphantom{C}^{#1}\!C_{#2} } [/ilmath]
- This was solved/worked out, see: Probability of i.i.d random variables being in an order and not greater than something
Solution
- [math]\P{X\le Y\le Z}\eq\sum_z\sum_{y\le z}\sum_{x\le y}\P{X\eq x\cap Y\eq y\cap Z\eq z} [/math] - duh! - silly me!
- Integral form is obvious.
SILLY STUFF
Notes
Here I investigate:
- [ilmath]\P{X\le Y} [/ilmath], and
- [ilmath]\P{X\le Y\le Z} [/ilmath] which of course is short for [ilmath]\P{\big(X\le Y\big)\cap\big(Y\le Z\big)} [/ilmath]
Case 1:
- [math]\P{X\le Y}\eq\sum_{y\in S_Y}\Big( \P{Y\eq y}\times\Pcond{X\le Y}{Y\eq y}\Big) [/math]
- [math]\eq\sum_{y\in S_y}\Big(\P{Y\eq y}\times\P{X\le y} \Big)[/math]
- So: [math]\P{X\le Y}\eq\sum_{y\in S_Y}\Big( f_Y(y)\times F_X(y)\Big) [/math] where [ilmath]f_Y[/ilmath] is the probability mass function of [ilmath]Y[/ilmath] and [ilmath]F_X[/ilmath] is the cumulative probability function of [ilmath]X[/ilmath]
- Note that there are bounds on [ilmath]X[/ilmath] hiding in here, as another way to write this is:
- [math]\P{X\le Y}\eq\sum_{y\in S_y}\left( f_Y(y)\times \left[\sum_{x\in S_X,\ x\le y}\P{X\eq x}\right]\right)[/math]
- Note that there are bounds on [ilmath]X[/ilmath] hiding in here, as another way to write this is:
- The "integral form" is obviously:
- [math]\P{X\le Y}\eq\int_{S_y}\Big(f_Y(y)\!\ F_X(y)\Big)\mathrm{d}y[/math] from the infinitesimal-style abuse of notation: [ilmath]\P{Y\eq y}\mathrm{d}y\cdot \P{X\le y} [/ilmath]
- Which may be written as:
- [math]\P{X\le Y}\eq\int_{S_y}\left(f_Y(y)\cdot\left[\int_{x\in S_x,\ x\le y}f_X(x)\right]\mathrm{d}x\right)\mathrm{d}y[/math]
- Which may be written as:
- [math]\P{X\le Y}\eq\int_{S_y}\Big(f_Y(y)\!\ F_X(y)\Big)\mathrm{d}y[/math] from the infinitesimal-style abuse of notation: [ilmath]\P{Y\eq y}\mathrm{d}y\cdot \P{X\le y} [/ilmath]
Case 2:
- [math]\P{X\le Y\le Z}\eq\sum_{z\in S_Z}\P{Z\eq z}\cdot\Pcond{X\le Y\le Z}{Z\eq z} [/math]
- [math]\eq\sum_{z\in S_Z}\P{Z\eq z}\cdot\Pcond{X\le Y}{Y\le z} [/math]
- [math]\eq\sum_{z\in S_Z}\left(\P{Z\eq z}\cdot\frac{\P{X\le Y\le z} }{\P{Y\le z} }\right)[/math]
- [math]\eq\sum_{z\in S_Z}\left(\frac{\P{Z\eq z} }{\P{Y\le z} }\left[\sum_{y\in S_Y,\ y\le z}\P{Y\eq y}\cdot\Pcond{X\le Y}{Y\eq y}\right]\right)[/math]
- [math]\eq\sum_{z\in S_Z}\left(\frac{\P{Z\eq z} }{\P{Y\le z} }\sum_{y\in S_Y,\ y\le z} \P{Y\eq y}\cdot\P{X\le y} \right) [/math]
Integral form... coming soon!