Notation suggestion for modeling discrete random variables in model












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I am developing a set of linear difference equations to model labor hiring. In each equation, there are two variables that take on values from a stochastic binomial random variable with $n$ trials and probability of success $p$.



From a Stack Exchange viewpoint, this problem does not have an objective answer, and is opinion based. But I also was hoping that one of the benefits of Stack Exchange was to help standardize the presentation of mathematical ideas. If anyone has a suggestion of how to improve the question description, please let me know. Further, if anyone wants to edit this post to make it comply with Math Stack Exchange principals, please feel free.



I was really looking for guidance on the best notation to use for such a model--in terms of clarity. As I said, this is a hiring model, so there is a number of attritions for each group, as well as an additional random factor that includes attritions over all groups $G$. The model will look something like this:



$$
attrition_{group1}(t) = binomial(n_{group1}, p_{group1})(t) + binomial(N_G, p_{G})(t)
$$



Now I could leave the notation this way, or I could use something like:



$$
attrition_{group1}(t) = a_{group1}(t) + a_{G}(t) \
a_{group1} sim Binomial(n_{group1}, p_{group1}) \
a_G sim Binomial(N_G, p_G)
$$



The first notation seems a bit clunky because of the "binomial" notation, but it has the virtue of all the information being present in a single equation. I have six group, hence this allows me to write only 6 equations.



On the other hand the second notation seems a bit more streamlined, however again I have 6 groups, so that means 18 equations. Of course I can write a bit more concise notation and condense the equations for all 6 groups to just 3 equations, but then that obscures some of the details from the reader.



I was wondering if anyone had suggestions on notation for this type of model layout with random variables conforming to different distributions. Thanks.










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    0












    $begingroup$


    I am developing a set of linear difference equations to model labor hiring. In each equation, there are two variables that take on values from a stochastic binomial random variable with $n$ trials and probability of success $p$.



    From a Stack Exchange viewpoint, this problem does not have an objective answer, and is opinion based. But I also was hoping that one of the benefits of Stack Exchange was to help standardize the presentation of mathematical ideas. If anyone has a suggestion of how to improve the question description, please let me know. Further, if anyone wants to edit this post to make it comply with Math Stack Exchange principals, please feel free.



    I was really looking for guidance on the best notation to use for such a model--in terms of clarity. As I said, this is a hiring model, so there is a number of attritions for each group, as well as an additional random factor that includes attritions over all groups $G$. The model will look something like this:



    $$
    attrition_{group1}(t) = binomial(n_{group1}, p_{group1})(t) + binomial(N_G, p_{G})(t)
    $$



    Now I could leave the notation this way, or I could use something like:



    $$
    attrition_{group1}(t) = a_{group1}(t) + a_{G}(t) \
    a_{group1} sim Binomial(n_{group1}, p_{group1}) \
    a_G sim Binomial(N_G, p_G)
    $$



    The first notation seems a bit clunky because of the "binomial" notation, but it has the virtue of all the information being present in a single equation. I have six group, hence this allows me to write only 6 equations.



    On the other hand the second notation seems a bit more streamlined, however again I have 6 groups, so that means 18 equations. Of course I can write a bit more concise notation and condense the equations for all 6 groups to just 3 equations, but then that obscures some of the details from the reader.



    I was wondering if anyone had suggestions on notation for this type of model layout with random variables conforming to different distributions. Thanks.










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      I am developing a set of linear difference equations to model labor hiring. In each equation, there are two variables that take on values from a stochastic binomial random variable with $n$ trials and probability of success $p$.



      From a Stack Exchange viewpoint, this problem does not have an objective answer, and is opinion based. But I also was hoping that one of the benefits of Stack Exchange was to help standardize the presentation of mathematical ideas. If anyone has a suggestion of how to improve the question description, please let me know. Further, if anyone wants to edit this post to make it comply with Math Stack Exchange principals, please feel free.



      I was really looking for guidance on the best notation to use for such a model--in terms of clarity. As I said, this is a hiring model, so there is a number of attritions for each group, as well as an additional random factor that includes attritions over all groups $G$. The model will look something like this:



      $$
      attrition_{group1}(t) = binomial(n_{group1}, p_{group1})(t) + binomial(N_G, p_{G})(t)
      $$



      Now I could leave the notation this way, or I could use something like:



      $$
      attrition_{group1}(t) = a_{group1}(t) + a_{G}(t) \
      a_{group1} sim Binomial(n_{group1}, p_{group1}) \
      a_G sim Binomial(N_G, p_G)
      $$



      The first notation seems a bit clunky because of the "binomial" notation, but it has the virtue of all the information being present in a single equation. I have six group, hence this allows me to write only 6 equations.



      On the other hand the second notation seems a bit more streamlined, however again I have 6 groups, so that means 18 equations. Of course I can write a bit more concise notation and condense the equations for all 6 groups to just 3 equations, but then that obscures some of the details from the reader.



      I was wondering if anyone had suggestions on notation for this type of model layout with random variables conforming to different distributions. Thanks.










      share|cite|improve this question









      $endgroup$




      I am developing a set of linear difference equations to model labor hiring. In each equation, there are two variables that take on values from a stochastic binomial random variable with $n$ trials and probability of success $p$.



      From a Stack Exchange viewpoint, this problem does not have an objective answer, and is opinion based. But I also was hoping that one of the benefits of Stack Exchange was to help standardize the presentation of mathematical ideas. If anyone has a suggestion of how to improve the question description, please let me know. Further, if anyone wants to edit this post to make it comply with Math Stack Exchange principals, please feel free.



      I was really looking for guidance on the best notation to use for such a model--in terms of clarity. As I said, this is a hiring model, so there is a number of attritions for each group, as well as an additional random factor that includes attritions over all groups $G$. The model will look something like this:



      $$
      attrition_{group1}(t) = binomial(n_{group1}, p_{group1})(t) + binomial(N_G, p_{G})(t)
      $$



      Now I could leave the notation this way, or I could use something like:



      $$
      attrition_{group1}(t) = a_{group1}(t) + a_{G}(t) \
      a_{group1} sim Binomial(n_{group1}, p_{group1}) \
      a_G sim Binomial(N_G, p_G)
      $$



      The first notation seems a bit clunky because of the "binomial" notation, but it has the virtue of all the information being present in a single equation. I have six group, hence this allows me to write only 6 equations.



      On the other hand the second notation seems a bit more streamlined, however again I have 6 groups, so that means 18 equations. Of course I can write a bit more concise notation and condense the equations for all 6 groups to just 3 equations, but then that obscures some of the details from the reader.



      I was wondering if anyone had suggestions on notation for this type of model layout with random variables conforming to different distributions. Thanks.







      notation article-writing






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      asked Dec 22 '18 at 8:39









      krishnabkrishnab

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