Defining Vectors Using 
Stochastic Elements
            In addition to using Data elements to create vectors, you can also create vectors using Stochastic elements. If you define a Stochastic element An element that can be used to quantitatively represent the uncertainty in a model input. as a vector A one-dimensional array., rather than inputting a single probability distribution A mathematical representation of the relative likelihood of a variable having certain specific values. It can be expressed as a PDF (or a PMF for discrete variables), CDF or CCDF., you specify a set of probability distributions (one for each item of the vector).
If you specify the Stochastic as a vector (by specifying a set of array labels A collection of labels identifying the items of an array. via the Type... button), the dialog for defining the distribution (accessed via the Edit Distribution... button) will look similar to this:
                
            
All the inputs to the Stochastic must be vectors.
Learn more
- Array Functions
 - Copying Array Elements Between Models
 - Defining Arrays in an Input Field Using Array Constructor Functions
 - Defining Vectors and Matrices Using Data Elements
 - Defining Vectors Using Stochastic Elements
 - Displaying Final Value Results for Matrices
 - Displaying Final Value Results for Vectors
 - Elements That Can Manipulate Arrays
 - Manipulating Vectors and Matrices with Other Elements
 - Referencing an Item of an Array
 - Understanding Array Labels
 - Using a Vector as a Lookup Table
 - Viewing an Array in a Browser or Interface
 - Viewing Array Results
 - Viewing Results for Arrays
 - Viewing Time Histories for Array Outputs
 - Viewing Time Histories of Multiple Realizations for an Array