SAS: Inferential statistical analysis and advanced modeling · Introduction

Introduction

What this guide covers

A comprehensive graduate-level treatise that unites the mathematical rigor of modern probabilistic modeling with the applied software engineering of SAS.

Overview

Topics covered

Introduction
SAS: Inferential Statistical Analysis and Scientific Modeling
SAS Architecture and Data
1.1 SAS 9.4 Base engine vs CAS (Cloud Analytic Services - SAS Viya)
1.2 Programming Data Vector (PDV): Compilation vs Execution Phase
1.3 Data Typologies, Formats and Representation of Missing Values

Related concepts

Main connections

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

\alpha = P(\text{Rechazar } \mathcal{H}_0 \mid \mathcal{H}_0 \text{It's true}) \quad (\text{Type I error})

View LaTeX source

\alpha = P(\text{Rechazar } \mathcal{H}_0 \mid \mathcal{H}_0 \text{It's true}) \quad (\text{Type I error})