# Generate Gamma Distributed Numbers in Julia

In Julia, one can generate random numbers that follow a Gamma distribution by using the Distribution package. Thereby one can use the rand() function that draws random numbers and specify the Gamma distribution by using the Gamma(a,b) command. The parameters a and b define the shape parameters of the Gamma distribution. This article provides a more generic overview of how to generate random numbers in Julia.

# How to save Objects/Data in Julia?

How can one save objects in Julia? One easy way to do so it to use the JLD package. The following examples demonstrates how to save data objects in Julia and how to load the once they are saved. Continue reading How to save Objects/Data in Julia?

# How to set a Seed in Julia?

In Julia, you can set a seed to the random number generator using the srand() function. The code example below sets the seed to 1234. Generating a random variable with rand(1) after setting the seed to 1234 will always generate the same number, i.e. it will always return 0.5908446386657102. Continue reading How to set a Seed in Julia?

# Multiple Regression in Julia

Julia presents various ways to carry out multiple regressions. One easy way is to use the lm() function of the GLM package. In this post I will present how to use the lm() and run OLS on the following model

$y = \alpha + \beta_{1} x_{1} + \beta_{2} x_{2} + \beta_{3} x_{3}$

# Linear Regression in Julia

Julia presents various ways to carry out linear regressions. In this post I will present how to use the native function linreg() to run OLS on the following model

$y = \alpha + \beta_{1} x_{1}$