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stochastic domination of binomial distributions



The Next CEO of Stack OverflowCovariance of Gaussian stochastic processDifferent versions of functional central limit theorem (aka Donsker theorem)?Prove that a process has independent incrementsShowing That a Certain Sequence of Random Variables is i.i.d.Poisson Approximation Problem involving putting balls into boxesCentral Limit Theorem for a Lévy Process (mild assumptions)Stochastic dominationStochastic Domination between Binomial Random VariablesBinomial Distribution: Stochastic DominanceCalculating necessary assumptions on simple Poisson process










0












$begingroup$


Consider the process of adding $k$ balls into a box:



  • each ball $b_i$ will be added with its own probability $P(b_i in B)$

  • for the first $k' = lfloor rho k rfloor $ balls we know that $P(b_i in B) geq gamma$

now clearly the random variable $|B|$ of balls inside the box dominates a $Bin(k',gamma)$ distributed random variable $X$
i.e. $P(|B|geq x) geq P(X geq x)$



now I want to show, that there exist $delta > 0$ and $p<1$ only depending on $rho$ and $gamma$ such that



$P(|B| leq delta k ) leq p^k$



Any Advice would be greatly appreciated










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    Consider the process of adding $k$ balls into a box:



    • each ball $b_i$ will be added with its own probability $P(b_i in B)$

    • for the first $k' = lfloor rho k rfloor $ balls we know that $P(b_i in B) geq gamma$

    now clearly the random variable $|B|$ of balls inside the box dominates a $Bin(k',gamma)$ distributed random variable $X$
    i.e. $P(|B|geq x) geq P(X geq x)$



    now I want to show, that there exist $delta > 0$ and $p<1$ only depending on $rho$ and $gamma$ such that



    $P(|B| leq delta k ) leq p^k$



    Any Advice would be greatly appreciated










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      Consider the process of adding $k$ balls into a box:



      • each ball $b_i$ will be added with its own probability $P(b_i in B)$

      • for the first $k' = lfloor rho k rfloor $ balls we know that $P(b_i in B) geq gamma$

      now clearly the random variable $|B|$ of balls inside the box dominates a $Bin(k',gamma)$ distributed random variable $X$
      i.e. $P(|B|geq x) geq P(X geq x)$



      now I want to show, that there exist $delta > 0$ and $p<1$ only depending on $rho$ and $gamma$ such that



      $P(|B| leq delta k ) leq p^k$



      Any Advice would be greatly appreciated










      share|cite|improve this question









      $endgroup$




      Consider the process of adding $k$ balls into a box:



      • each ball $b_i$ will be added with its own probability $P(b_i in B)$

      • for the first $k' = lfloor rho k rfloor $ balls we know that $P(b_i in B) geq gamma$

      now clearly the random variable $|B|$ of balls inside the box dominates a $Bin(k',gamma)$ distributed random variable $X$
      i.e. $P(|B|geq x) geq P(X geq x)$



      now I want to show, that there exist $delta > 0$ and $p<1$ only depending on $rho$ and $gamma$ such that



      $P(|B| leq delta k ) leq p^k$



      Any Advice would be greatly appreciated







      probability-theory binomial-distribution






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Mar 20 at 11:22









      user373499user373499

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