The intersection property for binomial and Poisson distributions

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Let MM be a binomially distributed or Poisson-distributed random variable, let P0P_0 be its distribution, and let G(M)G(M) be its GG-transform, defined by assigning the signed square root of twice the divergence from P0P_0 according as the value is below or above the mean. Let ZZ be a standard Gaussian. The intersection property. The quantile transform between G(M)G(M) and ZZ is a step function, and the identity function intersects each step, namely

P(M<m)<P(Z≤G(m))<P(M≤m)P(M<m)<P\left(Z\leq G(m)\right)<P(M\leq m)

for every integer mm. This conjecture asserts a precise interlacing between the discrete distribution and the Gaussian distribution after the GG-transform; the source presents it as supported by quantile plots, and no resolution is supplied.

References

Primary source

Peter Harremoës and Gábor Tusnády, “Information Divergence is more chi squared distributed than the chi squared statistics”, arXiv:1202.1125 (2012).

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