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 Sas 9.1 Output Delivery System User's Guide: BooksCombining plenty of practical examples with detailed information, this user's guide shows you how to produce output that you can view with a Web browser or that takes advantage of a high-resolution PostScript printer, turn the output of a DATA step or procedure into a SAS data set, turn the output of a data query or procedure into an ODS document,... | | Getting Started With SAS Enterprise Miner 5.2SAS defines data mining as the process of uncovering hidden patterns in large amounts of data. Many industries use data mining to address business problems and opportunities such as fraud detection, risk and affinity analyses, database marketing, householding, customer churn, bankruptcy prediction, and... | | Base SAS Guide to Information MapsA SAS Information Map is business metadata about your data. Information maps are user-friendly metadata definitions of data sources and enable your business users to query data in order to meet specific business needs. Metadata is information about the structure and... |
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Sas R 9.1.3 OLAP Server: MDX GuideMultidimensional Expressions (MDX) is a powerful syntax that enables you to query multidimensional objects and provide commands that retrieve and manipulate multidimensional data from those objects. MDX is designed to ease the process of accessing data from multiple dimensions. It addresses the conceptual differences between two-dimensional and... | | SAS(R) Data Integration Studio 3.4: User's GuideThis manual is a task-oriented introduction to the main features of SAS Data Integration Studio. SAS Data Integration Studio is a visual design tool that enables you to consolidate and manage enterprise data from a variety of source systems, applications, and technologies. The audience for this manual is users who are responsible for data... | | Using SAS in Financial ResearchResearchers, graduate students, and practitioners in the financial market now have the first reference-style handbook detailing the mechanics of statistical testing on financial and accounting data. This one-of-a-kind book illustrates how to use SAS software to conduct basic empirical analyses of stock market and financial statement data. It covers... |
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Data Mining Using SAS Enterprise Miner (Wiley Series in Computational Statistics)Data Mining Using SAS Enterprise Miner introduces the readers to data mining using SAS Enterprise Miner v4. This book will reveal the power and ease of use of the powerful new module in SAS that will introduce the readers to the various configuration settings and subsequent results that are generated from the various nodes in Enterprise Miner that... | | SAS for Forecasting Time Series, Second EditionIn this second edition of the indispensable SAS for Forecasting Time Series, Brocklebank and Dickey show you how SAS performs univariate and multivariate time series analysis. Taking a tutorial approach, the authors focus on the procedures that most effectively bring results: the advanced procedures ARIMA, SPECTRA, STATESPACE, and VARMAX.... | | Getting Started with SAS Activity-Based Management 6.4, Second EditionThis document introduces basic modeling concepts that are used in SAS Activity-Based Management software. To complete the model-building process, move through this tutorial from beginning to end, exactly as it is presented. This tutorial also provides information that helps you become familiar with the SAS Activity-Based Management software: the... |
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