What is the probability distribution of linear formula? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Can a probability distribution value exceeding 1 be OK?A name for this distributional condition?Calculating probability mass functions with constraints from cumulative distributionSpecial probability distributionProbability density of compound triangular distribution with uniformly distributed mode?What is the name of the distribution with a probability density like $1/(1+exp(x))$?Probability based on cumulative distribution functionObtaining the constant from the cumulative distribution functionDoes this bounded, continuous probability distribution have a name?X is Uniform $[-theta,theta]$ what is the distribution of $Y=frac1x^2$?

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What is the probability distribution of linear formula?



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Can a probability distribution value exceeding 1 be OK?A name for this distributional condition?Calculating probability mass functions with constraints from cumulative distributionSpecial probability distributionProbability density of compound triangular distribution with uniformly distributed mode?What is the name of the distribution with a probability density like $1/(1+exp(x))$?Probability based on cumulative distribution functionObtaining the constant from the cumulative distribution functionDoes this bounded, continuous probability distribution have a name?X is Uniform $[-theta,theta]$ what is the distribution of $Y=frac1x^2$?



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2












$begingroup$


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



$p(i)= frac2N(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
    5 hours ago

















2












$begingroup$


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



$p(i)= frac2N(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
    5 hours ago













2












2








2





$begingroup$


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



$p(i)= frac2N(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)= frac2N(N+1)i; 0 leq i leq N $







probability distributions






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited 5 hours ago







Lio

















asked 5 hours ago









LioLio

212




212











  • $begingroup$
    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
    5 hours ago
















  • $begingroup$
    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
    5 hours ago















$begingroup$
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
5 hours ago




$begingroup$
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
5 hours ago










2 Answers
2






active

oldest

votes


















2












$begingroup$

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 $1$:
$$sum_i=1^Nfrac2N(N+1)i=frac2N(N+1)sum_i=1^Ni=frac2N(N+1)fracN(N+1)2=1$$
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 $mathsfBeta(2,1).$
    $endgroup$
    – BruceET
    2 hours ago


















1












$begingroup$

I think you intend this to be a discrete distribution.



If $N=5$ you have $P(X = i) = frac2i30 = fraci15.$ 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
    2






    active

    oldest

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    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    2












    $begingroup$

    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 $1$:
    $$sum_i=1^Nfrac2N(N+1)i=frac2N(N+1)sum_i=1^Ni=frac2N(N+1)fracN(N+1)2=1$$
    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 $mathsfBeta(2,1).$
      $endgroup$
      – BruceET
      2 hours ago















    2












    $begingroup$

    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 $1$:
    $$sum_i=1^Nfrac2N(N+1)i=frac2N(N+1)sum_i=1^Ni=frac2N(N+1)fracN(N+1)2=1$$
    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 $mathsfBeta(2,1).$
      $endgroup$
      – BruceET
      2 hours ago













    2












    2








    2





    $begingroup$

    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 $1$:
    $$sum_i=1^Nfrac2N(N+1)i=frac2N(N+1)sum_i=1^Ni=frac2N(N+1)fracN(N+1)2=1$$
    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 $1$:
    $$sum_i=1^Nfrac2N(N+1)i=frac2N(N+1)sum_i=1^Ni=frac2N(N+1)fracN(N+1)2=1$$
    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 3 hours ago









    gunesgunes

    7,6461316




    7,6461316











    • $begingroup$
      (+1) for mentioning applications. The continuous version is $mathsfBeta(2,1).$
      $endgroup$
      – BruceET
      2 hours ago
















    • $begingroup$
      (+1) for mentioning applications. The continuous version is $mathsfBeta(2,1).$
      $endgroup$
      – BruceET
      2 hours ago















    $begingroup$
    (+1) for mentioning applications. The continuous version is $mathsfBeta(2,1).$
    $endgroup$
    – BruceET
    2 hours ago




    $begingroup$
    (+1) for mentioning applications. The continuous version is $mathsfBeta(2,1).$
    $endgroup$
    – BruceET
    2 hours ago













    1












    $begingroup$

    I think you intend this to be a discrete distribution.



    If $N=5$ you have $P(X = i) = frac2i30 = fraci15.$ 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











    $endgroup$

















      1












      $begingroup$

      I think you intend this to be a discrete distribution.



      If $N=5$ you have $P(X = i) = frac2i30 = fraci15.$ 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











      $endgroup$















        1












        1








        1





        $begingroup$

        I think you intend this to be a discrete distribution.



        If $N=5$ you have $P(X = i) = frac2i30 = fraci15.$ 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 $P(X = i) = frac2i30 = fraci15.$ 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 3 hours ago

























        answered 3 hours ago









        BruceETBruceET

        6,8161721




        6,8161721



























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