Basic Statistics Using SAS Enterprise Guide

A Primer

Author: Geoff Der,Brian Everitt

Publisher: SAS Institute

ISBN: 1599947153

Category: Computers

Page: 240

View: 5699

This example-rich guide shows you how to conduct a wide range of statistical analyses with no SAS programming required. For each analysis, one or more real data sets, a brief introduction of the technique, and a clear explanation of the SAS Enterprise Guide output are provided.

Statistics Using SAS Enterprise Guide

Author: James B. Davis, Ph.D.

Publisher: SAS Institute

ISBN: 1599947242

Category: Computers

Page: 785

View: 2899

Discover how easy it is to perform statistical analysis using the power of SAS Enterprise Guide. Suitable for students new to statistics and to SAS, as well as for experienced professionals, James Davis's Statistics Using SAS Enterprise Guide provides an introduction to the basics of SAS Enterprise Guide and to statistics. Early chapters in this easy-to-follow book address topics such as how to work with data sets (including SAS data sets, data sets in Microsoft Excel, and other formats) and how to perform queries. A separate chapter on descriptive statistics offers a wide range of techniques and multiple presentation options. Later chapters provide detailed discussions (without calculus) of statistical theory and step-by-step examples that illustrate how to apply the appropriate SAS Enterprise Guide tasks, including both complete output and thorough analyses of the results. These chapters present examples of one-sample inference, two-sample inference, analysis of variance, correlation and regression, and table analysis

Data Analysis Using SAS Enterprise Guide

Author: Lawrence S. Meyers,Glenn Gamst,A. J. Guarino

Publisher: Cambridge University Press

ISBN: 0521112680

Category: Business & Economics

Page: 378

View: 3747

This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.

Essential Statistics Using SAS University Edition

Author: Geoff Der,Brian S. Everitt

Publisher: SAS Institute

ISBN: 1629600946

Category: Mathematics

Page: 246

View: 2302

Students and instructors of statistics courses using SAS University Edition will welcome this book. Learning fundamental statistics is essential to solving problems with SAS. Essential Statistics Using SAS University Edition demonstrates how to use SAS University Edition to apply a variety of statistical methodologies, from the simple to the not-so-simple, to a range of data sets. Learn how to apply the appropriate statistical method to answer a particular question about a data set, and correctly interpret the numerical results that you obtain. SAS University Edition users who are new to SAS or who need a refresher course will benefit from the statistics overview and topics, such as multiple linear regression, logistic regression, and Poisson regression.

Statistical Analysis of Medical Data Using SAS

Author: Geoff Der,Brian S. Everitt

Publisher: CRC Press

ISBN: 9781584884699

Category: Mathematics

Page: 440

View: 3633

Statistical analysis is ubiquitous in modern medical research. Logistic regression, generalized linear models, random effects models, and Cox's regression all have become commonplace in the medical literature. But while statistical software such as SAS make routine application of these techniques possible, users who are not primarily statisticians must take care to correctly implement the various procedures and correctly interpret the output. Statistical Analysis of Medical Data Using SAS demonstrates how to use SAS to analyze medical data. Each chapter addresses a particular analysis method. The authors briefly describe each procedure, but focus on its SAS implementation and properly interpreting the output. The carefully designed presentation relegates the theoretical details to "Displays," so that the code and results can be explored without interruption. All of the code and data sets used in the book are available for download from either the SAS Web site or Der and Everitt, authors of the best-selling Handbook of Statistical Analyses Using SAS, bring all of their considerable talent and experience to bear in this book. Step-by-step instructions, lucid explanations and clear examples combine to form an outstanding, self-contained guide--suitable for medical researchers and statisticians alike--to using SAS to analyze medical data.

Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition

Author: Randall S. Collica

Publisher: SAS Institute

ISBN: 1629605271

Category: Computers

Page: 356

View: 5589

Understanding your customers is the key to your company’s success! Segmentation is one of the first and most basic machine learning methods. It can be used by companies to understand their customers better, boost relevance of marketing messaging, and increase efficacy of predictive models. In Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition, Randy Collica explains, in step-by-step fashion, the most commonly available techniques for segmentation using the powerful data mining software SAS Enterprise Miner. A working guide that uses real-world data, this new edition will show you how to segment customers more intelligently and achieve the one-to-one customer relationship that your business needs. Step-by-step examples and exercises, using a number of machine learning and data mining techniques, clearly illustrate the concepts of segmentation and clustering in the context of customer relationship management. The book includes four parts, each of which increases in complexity. Part 1 reviews the basics of segmentation and clustering at an introductory level, providing examples from a variety of industries. Part 2 offers an in-depth treatment of segmentation with practical topics, such as when and how to update your models. Part 3 goes beyond traditional segmentation practices to introduce recommended strategies for clustering product affinities, handling missing data, and incorporating textual records into your predictive model with SAS Text Miner. Finally, part 4 takes segmentation to a new level with advanced techniques, such as clustering of product associations, developing segmentation-scoring models from customer survey data, combining segmentations using ensemble segmentation, and segmentation of customer transactions. New to the third edition is a chapter that focuses on predictive models within microsegments and combined segments, and a new parallel process technique is introduced using SAS Factory Miner. In addition, all examples have been updated to the latest version of SAS Enterprise Miner.

Elementary Statistics Using SAS

Author: Sandra D. Schlotzhauer

Publisher: SAS Institute

ISBN: 9781607644262

Category: Computers

Page: 560

View: 3521

Bridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems. The first section of the book explains the basics of SAS data sets and shows how to use SAS for descriptive statistics and graphs. The second section discusses fundamental statistical concepts, including normality and hypothesis testing. The remaining sections of the book show analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, author Sandra Schlotzhauer explains assumptions, statistical approach, and SAS methods and syntax, and makes conclusions from the results. Statistical methods covered include two-sample t-tests, paired-difference t-tests, analysis of variance, multiple comparison techniques, regression, regression diagnostics, and chi-square tests. Elementary Statistics Using SAS is a thoroughly revised and updated edition of Ramon Littell and Sandra Schlotzhauer's SAS System for Elementary Statistical Analysis.

CRM Segmentation and Clustering Using SAS Enterprise Miner

Author: Randall S. Collica

Publisher: SAS Press

ISBN: 9781590475089

Category: Computers

Page: 290

View: 6450

Understanding the customer is critical to your company's success. In this instructive guide, Randy Collica employs SAS Enterprise Miner and the most commonly available techniques for customer relationship management (CRM). You will learn how to segment customers more intelligently and to achieve, or at least get closer to, the one-to-one customer relationship that today's businesses want. Step-by-step examples and exercises clearly illustrate the concepts of segmentation and clustering in the context of CRM. The book, with a foreword by Michael J. A. Berry, is sectioned into three parts. Part 1 reviews the basics of segmentation and clustering at an introductory level, providing examples from a variety of industries. Part 2 offers an in-depth treatment of segmentation with practical topics such as when and how to update your models and clustering with many attributes. Part 3 presents an introduction to newer, more advanced techniques, such as product affinity clustering, missing data imputation, and text mining segmentation. This straight-forward guide will appeal to anyone who seeks to better understand customers or prospective customers. Additionally, professors and students will find the book well suited for a business data mining analytics course in an MBA program or related course of study. You should understand basic statistics, but no prior knowledge of data mining or SAS Enterprise Miner is required. A foreword by Michael J. A. Berry is featured. Included on your bonus CD-ROM are the following: example SAS code, data sets, macros, and Enterprise Miner templates.

Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

A Beginner's Guide

Author: Olivia Parr-Rud

Publisher: SAS Institute

ISBN: 1629593281

Category: Mathematics

Page: 182

View: 3019

This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. Today’s businesses increasingly use data to drive decisions that keep them competitive. Especially with the influx of big data, the importance of data analysis to improve every dimension of business cannot be overstated. Data analysts are therefore in demand; however, many hires and prospective hires, although talented with respect to business and statistics, lack the know-how to perform business analytics with advanced statistical software. Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner is a beginner’s guide with clear, illustrated, step-by-step instructions that will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive analysis, predictive modeling and analytics, customer segmentation, market analysis, share-of-wallet analysis, penetration analysis, and business intelligence. This book is part of the SAS Press program.

Marketing Research with SAS Enterprise Guide

Author: Professor Karine Charry,Professor Nathalie Demoulin,Professor Kristof Coussement

Publisher: Gower Publishing, Ltd.

ISBN: 1409459284

Category: Business & Economics

Page: 316

View: 5253

Marketing Research with SAS Enterprise Guide provides a detailed explanation of the SAS® Enterprise Guide software. Using 236 screen shots and based on a step-by-step approach and real managerial situations, it guides the reader to an understanding of the use of statistical methods. It demonstrates ways of extracting information and collating it to provide reliable results, and how to use these results to solve day-to-day business and research problems.

Statistical Data Analysis Using SAS

Intermediate Statistical Methods

Author: Mervyn G. Marasinghe,Kenneth J. Koehler

Publisher: Springer

ISBN: 3319692399

Category: Computers

Page: 679

View: 4874

The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data. The book begins with an introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. It proceeds to SAS programming and applications, SAS graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and then takes the discussion beyond regression and analysis of variance to conclude. Pedagogically, the authors introduce theory and methodological basis topic by topic, present a problem as an application, followed by a SAS analysis of the data provided and a discussion of results. The text focuses on applied statistical problems and methods. Key features include: end of chapter exercises, downloadable SAS code and data sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a real-world problem. New to this edition: • Covers SAS v9.2 and incorporates new commands • Uses SAS ODS (output delivery system) for reproduction of tables and graphics output • Presents new commands needed to produce ODS output • All chapters rewritten for clarity • New and updated examples throughout • All SAS outputs are new and updated, including graphics • More exercises and problems • Completely new chapter on analysis of nonlinear and generalized linear models • Completely new appendix Mervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing. Kenneth J. Koehler, PhD, is University Professor of Statistics at Iowa State University, where he teaches courses in statistical methodology at both graduate and undergraduate levels and primarily uses SAS to supplement his teaching.

Datenanalyse mit SAS®

Statistische Verfahren und ihre grafischen Aspekte

Author: Walter Krämer,Olaf Schoffer,Lars Tschiersch,Joachim Gerß

Publisher: Springer-Verlag

ISBN: 3662577992

Category: Computers

Page: 484

View: 8205

Das Programmpaket SAS hat sich im Lauf der Jahre als Standardprogramm zur statistischen Datenanalyse etabliert. Der souveräne Umgang mit statistischen Methoden und deren praktischer Umsetzung in SAS bietet somit einen unschätzbaren Vorteil für die tägliche Arbeit des Datenanalytikers. Im vorliegenden Buch erlernt der Leser zunächst die Grundlagen der Programmierung. Anschließend wird eine große Auswahl statistischer Verfahren und deren Umsetzung als SAS-Programm vorgestellt. Dabei wird großes Augenmerk auf die grafischen Aspekte der statistischen Datenanalyse gelegt. Ein zusätzlicher Teil über Programmierung mit IML und Makros sowie hilfreiche Assistenten in SAS runden die Darstellung ab. Kommentierte Beispiele und Übungsaufgaben mit Lösungshinweisen ermöglichen das Selbststudium. Mit seiner umfassenden Themenauswahl ist das Buch als Einführung, aber auch als Nachschlagewerk für den fortgeschritteneren Leser geeignet. Für die 4. Auflage wurden Kapitel zur Epidemiologie und Biometrie ergänzt.


Author: Robert Harris

Publisher: Heyne Verlag

ISBN: 3641070554

Category: Fiction

Page: 384

View: 964

Der beklemmend aktuelle Thriller von Bestsellergarant Robert Harris Für die Öffentlichkeit ist er ein Unbekannter, aber in den geheimen inneren Zirkeln der Superreichen ist Alex Hoffmann eine lebende Legende – ein visionärer Wissenschaftler, der eine Software entwickelt hat, die an den Börsen der Welt Milliardengewinne erzielt. Nun hat es jemand auf ihn abgesehen, und es beginnt für ihn eine albtraumhafte Zeit aus Angst und Schrecken. Kann er die Geister, die er rief, wieder loswerden? Oder stürzt er unaufhaltbar in den Abgrund – und mit ihm die Finanzmärkte der Welt?

SAS For Dummies

Author: Stephen McDaniel,Chris Hemedinger

Publisher: John Wiley & Sons

ISBN: 9781118044018

Category: Computers

Page: 408

View: 8847

Created in partnership with SAS, this book explores SAS, a business intelligence software that can be used in any business setting or enterprise for data delivery, reporting, data mining, forecasting, statistical analysis, and more SAS employee and technologist Stephen McDaniel combines real-world expertise and a friendly writing style to introduce readers to SAS basics Covers crucial topics such as getting various types of data into the software, producing reports, working with the data, basic SAS programming, macros, and working with SAS and databases

R in a Nutshell

Author: Joseph Adler

Publisher: O'Reilly Germany

ISBN: 3897216507

Category: Computers

Page: 768

View: 7019

Wozu sollte man R lernen? Da gibt es viele Gründe: Weil man damit natürlich ganz andere Möglichkeiten hat als mit einer Tabellenkalkulation wie Excel, aber auch mehr Spielraum als mit gängiger Statistiksoftware wie SPSS und SAS. Anders als bei diesen Programmen hat man nämlich direkten Zugriff auf dieselbe, vollwertige Programmiersprache, mit der die fertigen Analyse- und Visualisierungsmethoden realisiert sind – so lassen sich nahtlos eigene Algorithmen integrieren und komplexe Arbeitsabläufe realisieren. Und nicht zuletzt, weil R offen gegenüber beliebigen Datenquellen ist, von der einfachen Textdatei über binäre Fremdformate bis hin zu den ganz großen relationalen Datenbanken. Zudem ist R Open Source und erobert momentan von der universitären Welt aus die professionelle Statistik. R kann viel. Und Sie können viel mit R machen – wenn Sie wissen, wie es geht. Willkommen in der R-Welt: Installieren Sie R und stöbern Sie in Ihrem gut bestückten Werkzeugkasten: Sie haben eine Konsole und eine grafische Benutzeroberfläche, unzählige vordefinierte Analyse- und Visualisierungsoperationen – und Pakete, Pakete, Pakete. Für quasi jeden statistischen Anwendungsbereich können Sie sich aus dem reichen Schatz der R-Community bedienen. Sprechen Sie R! Sie müssen Syntax und Grammatik von R nicht lernen – wie im Auslandsurlaub kommen Sie auch hier gut mit ein paar aufgeschnappten Brocken aus. Aber es lohnt sich: Wenn Sie wissen, was es mit R-Objekten auf sich hat, wie Sie eigene Funktionen schreiben und Ihre eigenen Pakete schnüren, sind Sie bei der Analyse Ihrer Daten noch flexibler und effektiver. Datenanalyse und Statistik in der Praxis: Anhand unzähliger Beispiele aus Medizin, Wirtschaft, Sport und Bioinformatik lernen Sie, wie Sie Daten aufbereiten, mithilfe der Grafikfunktionen des lattice-Pakets darstellen, statistische Tests durchführen und Modelle anpassen. Danach werden Ihnen Ihre Daten nichts mehr verheimlichen.

Statistik-Workshop für Programmierer

Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868993436

Category: Computers

Page: 160

View: 9507

Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.

Practical Business Analytics Using SAS

A Hands-on Guide

Author: Shailendra Kadre,Venkat Reddy Konasani

Publisher: Apress

ISBN: 1484200438

Category: Computers

Page: 580

View: 7550

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.

Custom Tasks for SAS Enterprise Guide Using Microsoft .NET

Author: Chris Hemedinger

Publisher: SAS Institute

ISBN: 1612900976

Category: Mathematics

Page: 280

View: 3729

Have you ever used SAS Enterprise Guide and found yourself wishing that it had that one specific feature, something that you know would make it the perfect tool for your work or industry? You don't have to settle for just the "out of the box" features; you can add your own capabilities with SAS custom tasks! Chris Hemedinger's new book takes you step-by-step through the process of creating custom tasks for use in SAS Enterprise Guide and SAS Add-In for Microsoft Office. Using standard off-the-shelf development tools for Microsoft .NET, you'll learn how you can hook in your custom processes and make them available to a wide range of SAS users. In the first part of the book, you'll learn how to use the development environment and the programming interfaces provided by SAS to create, test, and deploy new custom tasks. You'll learn about the services that the SAS Enterprise Guide framework offers, including data access, the ability to run SAS programs, and integration of your custom results into a SAS Enterprise Guide project. In the second part of the book, Hemedinger provides a variety of useful, field-tested and ready-to-run examples—complete with C# and Visual Basic .NET source code. Each example highlights different programming techniques that you can apply immediately within your own custom tasks. The book also addresses important aspects of .NET programming, such as debugging, exception handling, threading models, and user interface design. This book is part of the SAS Press program.


Wie Bildung mir die Welt erschloss

Author: Tara Westover

Publisher: Kiepenheuer & Witsch

ISBN: 3462316680

Category: Biography & Autobiography

Page: 448

View: 3268

Von den Bergen Idahos nach Cambridge – der unwahrscheinliche »Bildungsweg« der Tara Westover. Tara Westover ist 17 Jahre alt, als sie zum ersten Mal eine Schulklasse betritt. Zehn Jahre später kann sie eine beeindruckende akademische Laufbahn vorweisen. Aufgewachsen im ländlichen Amerika, befreit sie sich aus einer ärmlichen, archaischen und von Paranoia und Gewalt geprägten Welt durch – Bildung, durch die Aneignung von Wissen, das ihr so lange vorenthalten worden war. Die Berge Idahos sind Taras Heimat, sie lebt als Kind im Einklang mit der grandiosen Natur, mit dem Wechsel der Jahreszeiten – und mit den Gesetzen, die ihr Vater aufstellt. Er ist ein fundamentalistischer Mormone, vom baldigen Ende der Welt überzeugt und voller Misstrauen gegenüber dem Staat, von dem er sich verfolgt sieht. Tara und ihre Geschwister gehen nicht zur Schule, sie haben keine Geburtsurkunden, und ein Arzt wird selbst bei fürchterlichsten Verletzungen nicht gerufen. Und die kommen häufig vor, denn die Kinder müssen bei der schweren Arbeit auf Vaters Schrottplatz helfen, um über die Runden zu kommen. Taras Mutter, die einzige Hebamme in der Gegend, heilt die Wunden mit ihren Kräutern. Nichts ist dieser Welt ferner als Bildung. Und doch findet Tara die Kraft, sich auf die Aufnahmeprüfung fürs College vorzubereiten, auch wenn sie quasi bei null anfangen muss ... Wie Tara Westover sich aus dieser Welt befreit, überhaupt erst einmal ein Bewusstsein von sich selbst entwickelt, um den schmerzhaften Abnabelungsprozess von ihrer Familie bewältigen zu können, das beschreibt sie in diesem ergreifenden und wunderbar poetischen Buch. » Befreit wirft ein Licht auf einen Teil unseres Landes, den wir zu oft übersehen. Tara Westovers eindringliche Erzählung — davon, einen Platz für sich selbst in der Welt zu finden, ohne die Verbindung zu ihrer Familie und ihrer geliebten Heimat zu verlieren — verdient es, weithin gelesen zu werden.« J.D. Vance Autor der »Hillbilly-Elegie«