How to understand conditional distribution of exponential where it is conditioned on being less or greater...












0












$begingroup$


From SOA sample #270




The lifetime of a machine part is exponentially distributed with a mean of five years.
Calculate the mean lifetime of the part, given that it survives less than ten years.




To find the conditional distribution, I must define $$P(X|X<10)={P(X=xcap X<10)over P(X<10)}$$



The denominator is $1-e^{-2}$. Regarding the numerator, the SOA solution says it is simply the exponential distribution of mean $5$, ie. $frac1{5}e^{-frac x{5}}$. This confuses me, because how do we take into account the second part of the numerator, the condition of $X<10$? Can we simply define this expression $frac1{5}e^{-frac x{5}}$, as only applying when $0<x<10$, without modifying the expression in any way?



The answer here seems to do it a different way.










share|cite|improve this question











$endgroup$












  • $begingroup$
    What is "complicated" in the answer over there?
    $endgroup$
    – Did
    Dec 3 '18 at 7:02










  • $begingroup$
    After looking at it again, it's not.
    $endgroup$
    – agblt
    Dec 3 '18 at 11:32
















0












$begingroup$


From SOA sample #270




The lifetime of a machine part is exponentially distributed with a mean of five years.
Calculate the mean lifetime of the part, given that it survives less than ten years.




To find the conditional distribution, I must define $$P(X|X<10)={P(X=xcap X<10)over P(X<10)}$$



The denominator is $1-e^{-2}$. Regarding the numerator, the SOA solution says it is simply the exponential distribution of mean $5$, ie. $frac1{5}e^{-frac x{5}}$. This confuses me, because how do we take into account the second part of the numerator, the condition of $X<10$? Can we simply define this expression $frac1{5}e^{-frac x{5}}$, as only applying when $0<x<10$, without modifying the expression in any way?



The answer here seems to do it a different way.










share|cite|improve this question











$endgroup$












  • $begingroup$
    What is "complicated" in the answer over there?
    $endgroup$
    – Did
    Dec 3 '18 at 7:02










  • $begingroup$
    After looking at it again, it's not.
    $endgroup$
    – agblt
    Dec 3 '18 at 11:32














0












0








0





$begingroup$


From SOA sample #270




The lifetime of a machine part is exponentially distributed with a mean of five years.
Calculate the mean lifetime of the part, given that it survives less than ten years.




To find the conditional distribution, I must define $$P(X|X<10)={P(X=xcap X<10)over P(X<10)}$$



The denominator is $1-e^{-2}$. Regarding the numerator, the SOA solution says it is simply the exponential distribution of mean $5$, ie. $frac1{5}e^{-frac x{5}}$. This confuses me, because how do we take into account the second part of the numerator, the condition of $X<10$? Can we simply define this expression $frac1{5}e^{-frac x{5}}$, as only applying when $0<x<10$, without modifying the expression in any way?



The answer here seems to do it a different way.










share|cite|improve this question











$endgroup$




From SOA sample #270




The lifetime of a machine part is exponentially distributed with a mean of five years.
Calculate the mean lifetime of the part, given that it survives less than ten years.




To find the conditional distribution, I must define $$P(X|X<10)={P(X=xcap X<10)over P(X<10)}$$



The denominator is $1-e^{-2}$. Regarding the numerator, the SOA solution says it is simply the exponential distribution of mean $5$, ie. $frac1{5}e^{-frac x{5}}$. This confuses me, because how do we take into account the second part of the numerator, the condition of $X<10$? Can we simply define this expression $frac1{5}e^{-frac x{5}}$, as only applying when $0<x<10$, without modifying the expression in any way?



The answer here seems to do it a different way.







probability statistics






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 3 '18 at 11:27







agblt

















asked Dec 3 '18 at 4:47









agbltagblt

17914




17914












  • $begingroup$
    What is "complicated" in the answer over there?
    $endgroup$
    – Did
    Dec 3 '18 at 7:02










  • $begingroup$
    After looking at it again, it's not.
    $endgroup$
    – agblt
    Dec 3 '18 at 11:32


















  • $begingroup$
    What is "complicated" in the answer over there?
    $endgroup$
    – Did
    Dec 3 '18 at 7:02










  • $begingroup$
    After looking at it again, it's not.
    $endgroup$
    – agblt
    Dec 3 '18 at 11:32
















$begingroup$
What is "complicated" in the answer over there?
$endgroup$
– Did
Dec 3 '18 at 7:02




$begingroup$
What is "complicated" in the answer over there?
$endgroup$
– Did
Dec 3 '18 at 7:02












$begingroup$
After looking at it again, it's not.
$endgroup$
– agblt
Dec 3 '18 at 11:32




$begingroup$
After looking at it again, it's not.
$endgroup$
– agblt
Dec 3 '18 at 11:32










1 Answer
1






active

oldest

votes


















1












$begingroup$

You need to consider the probability distribution $color{blue}{restricted}$ to $[0,10)$ but besides this you need to $color{blue}{normalize}$ it by $P([0,10)) = 1-frac{1}{e^2}$.



So, the probability density of the conditioned random variable is:
$$f_{X|X<10}(x)= begin{cases}
0 & x geq 10 \
frac{1}{5left(color{blue}{1-frac{1}{e^2}}right)} e^{-frac{x}{5}} & 0 color{blue}{leq x <10} \
0 & x < 10
end{cases}$$



Now,
$$E(X|X<10) = int_0^{infty}xf_{X|X<10}(x), dx = frac{1}{5left(color{blue}{1-frac{1}{e^2}}right)} int_0^{color{blue}{10}} x e^{-frac{x}{5}} , dx$$






share|cite|improve this answer











$endgroup$













    Your Answer





    StackExchange.ifUsing("editor", function () {
    return StackExchange.using("mathjaxEditing", function () {
    StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
    StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
    });
    });
    }, "mathjax-editing");

    StackExchange.ready(function() {
    var channelOptions = {
    tags: "".split(" "),
    id: "69"
    };
    initTagRenderer("".split(" "), "".split(" "), channelOptions);

    StackExchange.using("externalEditor", function() {
    // Have to fire editor after snippets, if snippets enabled
    if (StackExchange.settings.snippets.snippetsEnabled) {
    StackExchange.using("snippets", function() {
    createEditor();
    });
    }
    else {
    createEditor();
    }
    });

    function createEditor() {
    StackExchange.prepareEditor({
    heartbeatType: 'answer',
    autoActivateHeartbeat: false,
    convertImagesToLinks: true,
    noModals: true,
    showLowRepImageUploadWarning: true,
    reputationToPostImages: 10,
    bindNavPrevention: true,
    postfix: "",
    imageUploader: {
    brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
    contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
    allowUrls: true
    },
    noCode: true, onDemand: true,
    discardSelector: ".discard-answer"
    ,immediatelyShowMarkdownHelp:true
    });


    }
    });














    draft saved

    draft discarded


















    StackExchange.ready(
    function () {
    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3023644%2fhow-to-understand-conditional-distribution-of-exponential-where-it-is-conditione%23new-answer', 'question_page');
    }
    );

    Post as a guest















    Required, but never shown

























    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1












    $begingroup$

    You need to consider the probability distribution $color{blue}{restricted}$ to $[0,10)$ but besides this you need to $color{blue}{normalize}$ it by $P([0,10)) = 1-frac{1}{e^2}$.



    So, the probability density of the conditioned random variable is:
    $$f_{X|X<10}(x)= begin{cases}
    0 & x geq 10 \
    frac{1}{5left(color{blue}{1-frac{1}{e^2}}right)} e^{-frac{x}{5}} & 0 color{blue}{leq x <10} \
    0 & x < 10
    end{cases}$$



    Now,
    $$E(X|X<10) = int_0^{infty}xf_{X|X<10}(x), dx = frac{1}{5left(color{blue}{1-frac{1}{e^2}}right)} int_0^{color{blue}{10}} x e^{-frac{x}{5}} , dx$$






    share|cite|improve this answer











    $endgroup$


















      1












      $begingroup$

      You need to consider the probability distribution $color{blue}{restricted}$ to $[0,10)$ but besides this you need to $color{blue}{normalize}$ it by $P([0,10)) = 1-frac{1}{e^2}$.



      So, the probability density of the conditioned random variable is:
      $$f_{X|X<10}(x)= begin{cases}
      0 & x geq 10 \
      frac{1}{5left(color{blue}{1-frac{1}{e^2}}right)} e^{-frac{x}{5}} & 0 color{blue}{leq x <10} \
      0 & x < 10
      end{cases}$$



      Now,
      $$E(X|X<10) = int_0^{infty}xf_{X|X<10}(x), dx = frac{1}{5left(color{blue}{1-frac{1}{e^2}}right)} int_0^{color{blue}{10}} x e^{-frac{x}{5}} , dx$$






      share|cite|improve this answer











      $endgroup$
















        1












        1








        1





        $begingroup$

        You need to consider the probability distribution $color{blue}{restricted}$ to $[0,10)$ but besides this you need to $color{blue}{normalize}$ it by $P([0,10)) = 1-frac{1}{e^2}$.



        So, the probability density of the conditioned random variable is:
        $$f_{X|X<10}(x)= begin{cases}
        0 & x geq 10 \
        frac{1}{5left(color{blue}{1-frac{1}{e^2}}right)} e^{-frac{x}{5}} & 0 color{blue}{leq x <10} \
        0 & x < 10
        end{cases}$$



        Now,
        $$E(X|X<10) = int_0^{infty}xf_{X|X<10}(x), dx = frac{1}{5left(color{blue}{1-frac{1}{e^2}}right)} int_0^{color{blue}{10}} x e^{-frac{x}{5}} , dx$$






        share|cite|improve this answer











        $endgroup$



        You need to consider the probability distribution $color{blue}{restricted}$ to $[0,10)$ but besides this you need to $color{blue}{normalize}$ it by $P([0,10)) = 1-frac{1}{e^2}$.



        So, the probability density of the conditioned random variable is:
        $$f_{X|X<10}(x)= begin{cases}
        0 & x geq 10 \
        frac{1}{5left(color{blue}{1-frac{1}{e^2}}right)} e^{-frac{x}{5}} & 0 color{blue}{leq x <10} \
        0 & x < 10
        end{cases}$$



        Now,
        $$E(X|X<10) = int_0^{infty}xf_{X|X<10}(x), dx = frac{1}{5left(color{blue}{1-frac{1}{e^2}}right)} int_0^{color{blue}{10}} x e^{-frac{x}{5}} , dx$$







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Dec 3 '18 at 5:22

























        answered Dec 3 '18 at 5:06









        trancelocationtrancelocation

        10.5k1722




        10.5k1722






























            draft saved

            draft discarded




















































            Thanks for contributing an answer to Mathematics Stack Exchange!


            • Please be sure to answer the question. Provide details and share your research!

            But avoid



            • Asking for help, clarification, or responding to other answers.

            • Making statements based on opinion; back them up with references or personal experience.


            Use MathJax to format equations. MathJax reference.


            To learn more, see our tips on writing great answers.




            draft saved


            draft discarded














            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3023644%2fhow-to-understand-conditional-distribution-of-exponential-where-it-is-conditione%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown





















































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown

































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown







            Popular posts from this blog

            Plaza Victoria

            Brian Clough

            Cáceres