probability factor phi(x) = ϕ(x)

probability factor phi(x) = ϕ(x)

ϕ(x) = e^(-n*(ln(x/µ)/ln(σd))²)

probability factor phi ϕ(x)

probability factor normal distribution = ϕ(x/µ;σ;n) = e^(-n*(ln(x/µ)/ln(σ))²)

probability factor phi(x/µ;sigma;n) deisenroth = ϕ(x/µ;σ;n)

ϕ(x/µ;σ;n) = e^(-n*(ln(x/µ)/ln(σ))²)

probability factor sigma(phi;n) deisenroth = σ(ϕ;n)

σ(ϕ;n) = σ^±√(-ln(ϕ)/n) = x(ϕ)/µ

x(ϕ;n) = µ∗σ^±√(-ln(ϕ)/n)

cumulative probability factor = phi cum = ϕc = 0,5*ϕ

cumulative probability factor product = phi cum product = ϕcp = (0,5*ϕ)^n and monte carlo simulation xgeo * sd

cumulative probability limit factor product distribution function phi-cum deisenroth = ϕc(x;n) and sigma-cum deisenroth = σc(ϕc;n)

Impressum

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