Description

Book Synopsis
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.

Table of Contents
1 Introduction 1.1 Overview1.2 SAS Enterprise Guide2 Basic Statistics and Regression Models2.1 Calculating new variables2.2 Normality test2.3 Simple linear regression2.4 Multiple linear regression 3 Time Series3.1 Smoothing methods3.2 ARIMA model3.3 Regression model with AR errors4 Panel Models4.1 Fixed effect4.2 Random effectReferences

Time Series Analysis Using SAS Enterprise Guide

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Order before 4pm tomorrow for delivery by Mon 22 Dec 2025.

A Paperback by Timina Liu, Shuangzhe Liu, Lei Shi

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    View other formats and editions of Time Series Analysis Using SAS Enterprise Guide by Timina Liu

    Publisher: Springer Verlag, Singapore
    Publication Date: 20/02/2020
    ISBN13: 9789811503207, 978-9811503207
    ISBN10: 9811503206
    Also in:
    Econometrics and economic statistics Mathematical and statistical software Probability and statistics

    Description

    Book Synopsis
    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.

    Table of Contents
    1 Introduction 1.1 Overview1.2 SAS Enterprise Guide2 Basic Statistics and Regression Models2.1 Calculating new variables2.2 Normality test2.3 Simple linear regression2.4 Multiple linear regression 3 Time Series3.1 Smoothing methods3.2 ARIMA model3.3 Regression model with AR errors4 Panel Models4.1 Fixed effect4.2 Random effectReferences

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