What is the probability distribution of linear formula?





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What is the distribution name when probability values have a linear increasing of the form:



$p(i)= frac{2}{N(N+1)}i; 0 leq i leq N $










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  • $begingroup$
    While there are triangular probability distributions, I do not think the function you supplied is a probability distribution over the support $0dots N$, because the area under its curve does not equal 1.
    $endgroup$
    – Alexis
    yesterday


















2












$begingroup$


What is the distribution name when probability values have a linear increasing of the form:



$p(i)= frac{2}{N(N+1)}i; 0 leq i leq N $










share|cite|improve this question











$endgroup$












  • $begingroup$
    While there are triangular probability distributions, I do not think the function you supplied is a probability distribution over the support $0dots N$, because the area under its curve does not equal 1.
    $endgroup$
    – Alexis
    yesterday














2












2








2





$begingroup$


What is the distribution name when probability values have a linear increasing of the form:



$p(i)= frac{2}{N(N+1)}i; 0 leq i leq N $










share|cite|improve this question











$endgroup$




What is the distribution name when probability values have a linear increasing of the form:



$p(i)= frac{2}{N(N+1)}i; 0 leq i leq N $







probability distributions






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edited yesterday







Lio

















asked yesterday









LioLio

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  • $begingroup$
    While there are triangular probability distributions, I do not think the function you supplied is a probability distribution over the support $0dots N$, because the area under its curve does not equal 1.
    $endgroup$
    – Alexis
    yesterday


















  • $begingroup$
    While there are triangular probability distributions, I do not think the function you supplied is a probability distribution over the support $0dots N$, because the area under its curve does not equal 1.
    $endgroup$
    – Alexis
    yesterday
















$begingroup$
While there are triangular probability distributions, I do not think the function you supplied is a probability distribution over the support $0dots N$, because the area under its curve does not equal 1.
$endgroup$
– Alexis
yesterday




$begingroup$
While there are triangular probability distributions, I do not think the function you supplied is a probability distribution over the support $0dots N$, because the area under its curve does not equal 1.
$endgroup$
– Alexis
yesterday










2 Answers
2






active

oldest

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4












$begingroup$

It is a valid distribution if $i$ is integer, otherwise it isn't as @Alexis points out. When integer, if we sum over all possibilities, we get $1$:
$$sum_{i=1}^N{frac{2}{N(N+1)}}i=frac{2}{N(N+1)}sum_{i=1}^N{}i=frac{2}{N(N+1)}frac{N(N+1)}{2}=1$$
Wikipedia entry for List of Probability Distributions doesn't associate this with a special name, however it is being used in some sources as Discrete Triangular Distribution, although the name has also been used to describe the probability distribution of two dice, in which the distribution is symmetric around a mean. As continuous case refers generally to asymmetric version of the triangle shape (which also includes $b=c$, i.e. right triangle), the discrete version can also do this, which makes the name valid practically.






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  • $begingroup$
    (+1) for mentioning applications. The continuous version is $mathsf{Beta}(2,1).$
    $endgroup$
    – BruceET
    yesterday



















2












$begingroup$

I think you intend this to be a discrete distribution.



If $N=5$ you have $P(X = i) = frac{2i}{30} = frac{i}{15}.$ Notice that, whatever $N$ you choose, $P(X = 0) = 0.$



You need to check that the probabilities add to $1:$ that is, $sum_{i=0}^{5} P(X = i) = 1.$
For that, you might want to look at this Wikipedia page.



Here is a plot of the PDF (or PMF) of this distribution.



enter image description here






share|cite|improve this answer











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    2 Answers
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    2 Answers
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    $begingroup$

    It is a valid distribution if $i$ is integer, otherwise it isn't as @Alexis points out. When integer, if we sum over all possibilities, we get $1$:
    $$sum_{i=1}^N{frac{2}{N(N+1)}}i=frac{2}{N(N+1)}sum_{i=1}^N{}i=frac{2}{N(N+1)}frac{N(N+1)}{2}=1$$
    Wikipedia entry for List of Probability Distributions doesn't associate this with a special name, however it is being used in some sources as Discrete Triangular Distribution, although the name has also been used to describe the probability distribution of two dice, in which the distribution is symmetric around a mean. As continuous case refers generally to asymmetric version of the triangle shape (which also includes $b=c$, i.e. right triangle), the discrete version can also do this, which makes the name valid practically.






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      (+1) for mentioning applications. The continuous version is $mathsf{Beta}(2,1).$
      $endgroup$
      – BruceET
      yesterday
















    4












    $begingroup$

    It is a valid distribution if $i$ is integer, otherwise it isn't as @Alexis points out. When integer, if we sum over all possibilities, we get $1$:
    $$sum_{i=1}^N{frac{2}{N(N+1)}}i=frac{2}{N(N+1)}sum_{i=1}^N{}i=frac{2}{N(N+1)}frac{N(N+1)}{2}=1$$
    Wikipedia entry for List of Probability Distributions doesn't associate this with a special name, however it is being used in some sources as Discrete Triangular Distribution, although the name has also been used to describe the probability distribution of two dice, in which the distribution is symmetric around a mean. As continuous case refers generally to asymmetric version of the triangle shape (which also includes $b=c$, i.e. right triangle), the discrete version can also do this, which makes the name valid practically.






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      (+1) for mentioning applications. The continuous version is $mathsf{Beta}(2,1).$
      $endgroup$
      – BruceET
      yesterday














    4












    4








    4





    $begingroup$

    It is a valid distribution if $i$ is integer, otherwise it isn't as @Alexis points out. When integer, if we sum over all possibilities, we get $1$:
    $$sum_{i=1}^N{frac{2}{N(N+1)}}i=frac{2}{N(N+1)}sum_{i=1}^N{}i=frac{2}{N(N+1)}frac{N(N+1)}{2}=1$$
    Wikipedia entry for List of Probability Distributions doesn't associate this with a special name, however it is being used in some sources as Discrete Triangular Distribution, although the name has also been used to describe the probability distribution of two dice, in which the distribution is symmetric around a mean. As continuous case refers generally to asymmetric version of the triangle shape (which also includes $b=c$, i.e. right triangle), the discrete version can also do this, which makes the name valid practically.






    share|cite|improve this answer









    $endgroup$



    It is a valid distribution if $i$ is integer, otherwise it isn't as @Alexis points out. When integer, if we sum over all possibilities, we get $1$:
    $$sum_{i=1}^N{frac{2}{N(N+1)}}i=frac{2}{N(N+1)}sum_{i=1}^N{}i=frac{2}{N(N+1)}frac{N(N+1)}{2}=1$$
    Wikipedia entry for List of Probability Distributions doesn't associate this with a special name, however it is being used in some sources as Discrete Triangular Distribution, although the name has also been used to describe the probability distribution of two dice, in which the distribution is symmetric around a mean. As continuous case refers generally to asymmetric version of the triangle shape (which also includes $b=c$, i.e. right triangle), the discrete version can also do this, which makes the name valid practically.







    share|cite|improve this answer












    share|cite|improve this answer



    share|cite|improve this answer










    answered yesterday









    gunesgunes

    7,6961316




    7,6961316












    • $begingroup$
      (+1) for mentioning applications. The continuous version is $mathsf{Beta}(2,1).$
      $endgroup$
      – BruceET
      yesterday


















    • $begingroup$
      (+1) for mentioning applications. The continuous version is $mathsf{Beta}(2,1).$
      $endgroup$
      – BruceET
      yesterday
















    $begingroup$
    (+1) for mentioning applications. The continuous version is $mathsf{Beta}(2,1).$
    $endgroup$
    – BruceET
    yesterday




    $begingroup$
    (+1) for mentioning applications. The continuous version is $mathsf{Beta}(2,1).$
    $endgroup$
    – BruceET
    yesterday













    2












    $begingroup$

    I think you intend this to be a discrete distribution.



    If $N=5$ you have $P(X = i) = frac{2i}{30} = frac{i}{15}.$ Notice that, whatever $N$ you choose, $P(X = 0) = 0.$



    You need to check that the probabilities add to $1:$ that is, $sum_{i=0}^{5} P(X = i) = 1.$
    For that, you might want to look at this Wikipedia page.



    Here is a plot of the PDF (or PMF) of this distribution.



    enter image description here






    share|cite|improve this answer











    $endgroup$


















      2












      $begingroup$

      I think you intend this to be a discrete distribution.



      If $N=5$ you have $P(X = i) = frac{2i}{30} = frac{i}{15}.$ Notice that, whatever $N$ you choose, $P(X = 0) = 0.$



      You need to check that the probabilities add to $1:$ that is, $sum_{i=0}^{5} P(X = i) = 1.$
      For that, you might want to look at this Wikipedia page.



      Here is a plot of the PDF (or PMF) of this distribution.



      enter image description here






      share|cite|improve this answer











      $endgroup$
















        2












        2








        2





        $begingroup$

        I think you intend this to be a discrete distribution.



        If $N=5$ you have $P(X = i) = frac{2i}{30} = frac{i}{15}.$ Notice that, whatever $N$ you choose, $P(X = 0) = 0.$



        You need to check that the probabilities add to $1:$ that is, $sum_{i=0}^{5} P(X = i) = 1.$
        For that, you might want to look at this Wikipedia page.



        Here is a plot of the PDF (or PMF) of this distribution.



        enter image description here






        share|cite|improve this answer











        $endgroup$



        I think you intend this to be a discrete distribution.



        If $N=5$ you have $P(X = i) = frac{2i}{30} = frac{i}{15}.$ Notice that, whatever $N$ you choose, $P(X = 0) = 0.$



        You need to check that the probabilities add to $1:$ that is, $sum_{i=0}^{5} P(X = i) = 1.$
        For that, you might want to look at this Wikipedia page.



        Here is a plot of the PDF (or PMF) of this distribution.



        enter image description here







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited yesterday

























        answered yesterday









        BruceETBruceET

        6,8561721




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