The inverse gamma distribution is a continuous probability distribution that is used in Bayesian analysis and in some statistical models. The inverse gamma distribution is closely related to the gamma distribution. For any probability distribution, it is essential to know how to compute four functions: the PDF function, which returns

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Years ago, I wrote about how to compute the incomplete beta function in SAS. Recently, a SAS programmer asked about a similar function, called the incomplete gamma function. The incomplete gamma function is a "special function" that arises in applied math, physics, and statistics. You should not confuse the gamma

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This is the third and last introductory article about how to bootstrap time series in SAS. In the first article, I presented the simple block bootstrap and discussed why bootstrapping a time series is more complicated than for regression models that assume independent errors. Briefly, when you perform residual resampling

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Over 57 billion minutes of The Office was streamed in 2020. My family bears some responsibility. Here's our activity visualized -- using SAS.

The post Visualizing our Netflix Trip through <em>The Office</em> appeared first on The SAS Dummy.

Have you ever heard of the DOLIST syntax? You might know the syntax even if you are not familiar with the name. The DOLIST syntax is a way to specify a list of numerical values to an option in a SAS procedure. Applications include: Specify the end points for bins

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SAS' Leonid Batkhan demonstrates a popular "divide-and-conquer" efficiency strategy using SAS/Connect®.

Running SAS programs in parallel using SAS/CONNECT® was published on SAS Users.

As I discussed in a previous article, the simple block bootstrap is a way to perform a bootstrap analysis on a time series. The first step is to decompose the series into additive components: Y = Predicted + Residuals. You then choose a block length (L) that divides the total

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On The DO Loop blog, I write about a diverse set of topics, including statistical data analysis, machine learning, statistical programming, data visualization, simulation, numerical analysis, and matrix computations. In a previous article, I presented some of my most popular blog posts from 2020. The most popular articles often deal

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This, the third of three posts on our hot-fix process, provides a spreadsheet and tips to track and manage your SAS®9 environment.

How to schedule and manage your SAS hot fixes was published on SAS Users.