Multiplic Multiplic ‾ ( l o g M e a n , l o g S t d D e v ) \underline{\operatorname{Multiplic}}(\mathrm{logMean}, \mathrm{logStdDev}) Multiplic ( logMean , logStdDev )
l o g M e a n \mathrm{logMean} logMean : mean of log values (location parameter; e l o g M e a n e^\mathrm{logMean} e logMean equals the geometric mean)
l o g S t d D e v \mathrm{logStdDev} logStdDev : standard deviation of log values (scale parameter; controls multiplicative spread)
Formation: the product of many positive variables X 1 ⋅ X 2 ⋅ … ⋅ X n X_1 \cdot X_2 \cdot \ldots \cdot X_n X 1 ⋅ X 2 ⋅ … ⋅ X n with mild conditions (e.g., finite variance of log X \log X log X ).
Origin: historically called Log-Normal or Galton distribution after Francis Galton.
Rename Motivation: renamed to Multiplic ‾ \underline{\operatorname{Multiplic}} Multiplic to reflect its formation mechanism through multiplication.
Properties: logarithm of a Multiplic ‾ \underline{\operatorname{Multiplic}} Multiplic (LogNormal) variable follows an Additive ‾ \underline{\operatorname{Additive}} Additive (Normal) distribution.
Applications: stock prices, file sizes, reaction times, income distributions, biological growth rates.
Caution: no perfectly multiplic distributions exist in real data; all real-world measurements contain deviations. Traditional estimators struggle with the inherent skewness and heavy right tail.