An inverse-square probability mass function (PMF) is at the Newcomb–Benford law (NBL)’s root and ultimately at the origin of positional notation and conformality. PrZ=2Z−2, where Z∈Z+. Under its tail, we… Click to show full abstract
An inverse-square probability mass function (PMF) is at the Newcomb–Benford law (NBL)’s root and ultimately at the origin of positional notation and conformality. PrZ=2Z−2, where Z∈Z+. Under its tail, we find information as harmonic likelihood Ls,t=Ht−1−Hs−1, where Hn is the nth harmonic number. The global Q-NBL is Prb,q=Lq,q+1L1,b=qHb−1−1, where b is the base and q is a quantum (1≤q
Keywords:
information;
probability;
function;
bayesian data;
code underneath;
local bayesian
Journal Title: Axioms
Year Published: 2025
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Journal Title: Axioms
Year Published: 2025
Link to full text (if available)
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recommendations!