Presents basic statistical, regression, and time series definitions and methods in a practical and easy-to-understand style
Shows how SAS Enterprise Guide can be used to perform time series analyses, combining step-by-step examples with real-world data to do so
Serves as a valuable reference tool, clearly presenting time series techniques
This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive illustrations of the SAS Enterprise Guide software. This book is a practical guide to time series analyses in SAS Enterprise Guide, and is valuable resource that benefits a wide variety of sectors.
1 Introduction
1.1 Overview
1.2 SAS Enterprise Guide
2 Basic Statistics and Regression Models
2.1 Calculating new variables
2.2 Normality test
2.3 Simple linear regression
2.4 Multiple linear regression
3 Time Series
3.1 Smoothing methods
3.2 ARIMA model
3.3 Regression model with AR errors
4 Panel Models
4.1 Fixed effect
4.2 Random effect
References
This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive illustrations of the SAS Enterprise Guide software. This book is a practical guide to time series analyses in SAS Enterprise Guide, and is valuable resource that benefits a wide variety of sectors.
1 Introduction.- 1.1 Overview.- 1.2 SAS Enterprise Guide.- 2 Basic Statistics and Regression Models.- 2.1 Calculating New Variables.- 2.2 Normality Test.- 2.3 Simple Linear Regression.- 2.4 Multiple Linear Regression.- 3 Time Series.- 3.1 Smoothing Methods.- 3.2 ARIMA Model.- 3.3 Regression Model with AR Errors.- 4 Panel Models.- 4.1 Fixed effect.- 4.2 Random Effect.- References.
Inhaltsverzeichnis
1 Introduction
1.1 Overview
1.2 SAS Enterprise Guide
2 Basic Statistics and Regression Models
2.1 Calculating new variables
2.2 Normality test
2.3 Simple linear regression
2.4 Multiple linear regression
3 Time Series
3.1 Smoothing methods
3.2 ARIMA model
3.3 Regression model with AR errors
4 Panel Models
4.1 Fixed effect
4.2 Random effect
References
Klappentext
This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive illustrations of the SAS Enterprise Guide software. This book is a practical guide to time series analyses in SAS Enterprise Guide, and is valuable resource that benefits a wide variety of sectors.
Presents basic statistical, regression, and time series definitions and methods in a practical and easy-to-understand style
Shows how SAS Enterprise Guide can be used to perform time series analyses, combining step-by-step examples with real-world data to do so
Serves as a valuable reference tool, clearly presenting time series techniques
