A Short Introduction to GAUSS for Windows
Ruud H. Koning

Contents
1 Introduction 1
2 Installing and Configuring GAUSS 3
3 Data Types and Operators 13
4 GAUSS Programs and Procedures 21
4.1 Gauss Programs 21
4.2 GAUSS Procedures 24
5 Libraries 33
6 File Input/Output 37
7 Maximum Likelihood Estimation 43
8 Graphics 53
8.1 Creating Graphics in GAUSS 53
8.2 Incorporating GAUSS Graphics in Text Documents 58
8.2.1 GAUSS Graphics in Microsoft Word Documents 58
8.2.2 GAUSS Graphics in LATEX2e Documents 60
9 Two Examples 63
9.1 A Kernel Estimation Library 63
9.2 Finite Sample Properties of the ML-estimator in Tobit Model 71
10 Exercises 75
A Converting ASCII to GAUSS datasets 81
B GAUSS Libraries 85
C ProgramCode 87

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