Simon Fraser University

Example 10.2: Estimating Parameters from Lognormal Plots

Note: You must specify a value for the shape parameter for a lognormal Q-Q plot with the SIGMA= option or its alias, the SHAPE= option. The plot in Output 10.2.2 displays the most linear point pattern ...
JSTOR Daily

Using Tenth and Ninetieth Percentiles and the Mode to Characterize Lognormal Distributions

The lognormal distribution is useful for approximating the distributions of such input variables as costs, sales, market share, etc. required in Monte Carlo simulations of business decisions. An easy ...
Simon Fraser University

PROBPLOT Statement

Specify shape parameter for the beta or gamma distribution ALPHA= Specify shape parameter for the beta distribution BETA= Specify shape parameter for the Weibull distribution or for distribution ...
Investopedia

Understanding Lognormal vs. Normal Distributions in Financial Analysis

Kristina Zucchi is an investment analyst and financial writer with 15+ years of experience managing portfolios and conducting equity research. Gordon Scott has been an active investor and technical ...