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Rick WicklinJune 13, 2014 0

Geometry, sensitivity, and parameters of the lognormal distribution

Today is my 500th blog post for The DO Loop. I decided to celebrate by doing what I always do: discuss a statistical problem and show how to solve it by writing a program in SAS. Two ways to parameterize the lognormal distribution I recently blogged about the relationship between

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Rick WicklinJune 9, 2014 0

How to generate a grid of points in SAS

In many areas of statistics, it is convenient to be able to easily construct a uniform grid of points. You can use a grid of parameter values to visualize functions and to get a rough feel for how an objective function in an optimization problem depends on the parameters. And

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Rick WicklinJune 4, 2014 0

Simulate lognormal data with specified mean and variance

In my book Simulating Data with SAS, I specify how to generate lognormal data with a shape and scale parameter. The method is simple: you use the RAND function to generate X ~ N(μ, σ), then compute Y = exp(X). The random variable Y is lognormally distributed with parameters μ

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