SAS Certification Prep Guide: Base Programming for SAS 9, Third Edition

Author: SAS Institute

Publisher: SAS Institute

ISBN: 1607645645

Category: Computers

Page: 802

View: 2189

New and experienced SAS users who want to prepare for the Base Programming for SAS 9 exam will find the SAS Certification Prep Guide: Base Programming for SAS 9 to be an invaluable, convenient, and comprehensive resource that covers all of the objectives tested on the exam. Major topics include importing and exporting raw data files, creating and modifying SAS data sets, and identifying and correcting data syntax and programming logic errors. You will also become familiar with the enhancements and new functionality that are available in SAS 9. Each chapter includes a quiz on the chapter's contents. This guide provides you with a solid study resource as well as a go-to reference for your library.
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SAS Certification Prep Guide

Base Programming for SAS9, Fifth Edition

Author: SAS Institute

Publisher: SAS Institute

ISBN: 1635269911

Category: Computers

Page: 386

View: 9978

Prepare for the SAS Base Programming for SAS 9 exam with the official guide by the SAS Global Certification Program. New and experienced SAS users who want to prepare for the SAS Base Programming for SAS 9 exam will find this guide to be a valuable resource that covers all of the objectives tested on the exam. Now in its fifth edition, the guide has been extensively updated and revised to streamline explanations. Major topics include importing data, creating and modifying SAS data sets, and identifying and correcting data syntax and programming logic errors. The chapter quizzes have been thoroughly updated and full solutions are included at the back of the book. In addition, links are provided to the exam objectives, practice exams, and other helpful resources, such as the updated Base SAS glossary and an expanded collection of practice data sets.
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Learning SAS by Example

A Programmer's Guide, Second Edition

Author: Ron Cody

Publisher: SAS Institute

ISBN: 1635266564

Category: Computers

Page: 536

View: 1644

Learn to program SAS by example! Learning SAS by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.
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SAS 9 Study Guide

Preparing for the Base Programming Certification Exam for SAS 9

Author: Ali Hezaveh

Publisher: John Wiley & Sons

ISBN: 9781118030615

Category: Study Aids

Page: 235

View: 7007

A thorough and self-contained treatment for SAS® users preparing for the Base Programming Certification Exam for SAS® 9—complete with explanations, tips, and practice exam questions SAS® 9 Study Guide is designed to help users of SAS® 9 become familiar with the fine points of the software as well as develop solid study strategies that will shorten preparation time and ensure successful exam results. The following five study topics are addressed with a focused chapter devoted to each: accessing data; creating data structures; managing data; generating reports; and handling errors. SAS® 9 Study Guide provides both a conceptual and practical approach to each of these areas with detailed explanations followed by examples. Each chapter presents concepts, processes, and applications in a clear, step-by-step format along with detailed explanations and examples. Individual chapters also contain: A Two-Minute Drill that provides a checklist of key points for review An Assessment Exam, which challenges readers to provide short answers detailingthe chapter's coverage of SAS® 9 A Practice Exam, which reinforces content and familiarizes readers with the structure ofthe actual Base Programming Certification Exam Written by a practicing SAS® Certified Professional, this book is an intensive, but accessible, review for preparing for the Base Programming Certification Exam for SAS® 9 and can also serve as a practical reference tool for established certified professionals who would like to further their knowledge of SAS® 9.
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The Little SAS Book

A Primer, Fifth Edition

Author: Lora D. Delwiche,Susan J. Slaughter

Publisher: SAS Institute

ISBN: 1612904009

Category: Computers

Page: 376

View: 3683

A classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Lora Delwiche and Susan Slaughter offer a user-friendly approach so readers can quickly and easily learn the most commonly used features of the SAS language. Each topic is presented in a self-contained two-page layout complete with examples and graphics. The fifth edition has been completely updated to reflect the new default output introduced with SAS 9.3. In addition, there is a now a full chapter devoted to ODS Graphics including the SGPLOT and SGPANEL procedures. Other changes include expanded coverage of linguistic sorting and a new section on concatenating macro variables with other text. This book is a great tool for users of SAS 9.4 as well. This title belongs on every SAS programmer's bookshelf. It's a resource not just to get you started, but one you'll return to as you continue to improve your programming skills. This book is part of the SAS Press program.
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SAS Statistics by Example

Author: Ron Cody, EdD

Publisher: SAS Institute

ISBN: 1612900127

Category: Computers

Page: 274

View: 386

In SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques--for example, comparing two means, ANOVA, and regression--this book provides an easy-to-follow, how-to approach to statistical analysis not found in other books. For each statistical task, Cody includes heavily annotated examples using ODS Statistical Graphics procedures such as SGPLOT, SGSCATTER, and SGPANEL that show how SAS can produce the required statistics. Also, you will learn how to test the assumptions for all relevant statistical tests. Major topics featured include descriptive statistics, one- and two-sample tests, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and sample size. This is not a book that teaches statistics. Rather, SAS Statistics by Example is perfect for intermediate to advanced statistical programmers who know their statistics and want to use SAS to do their analyses. This book is part of the SAS Press program.
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An Introduction to SAS University Edition

Author: Ron Cody

Publisher: SAS Institute

ISBN: 1629600075

Category: Computers

Page: 366

View: 8549

Get up and running with the SAS University Edition using Ron Cody’s easy-to-follow, step-by-step guide. Aimed at beginners who have downloaded the free SAS University Edition and want to either use the point-and-click interactive environment of SAS Studio, or who want to write their own SAS programs, or both, An Introduction to SAS University Edition, begins by showing you how to obtain the SAS University Edition, and how you can run SAS on a PC or Macintosh computer. The first part of the book shows you how to perform basic tasks, such as producing a report, summarizing data, producing charts and graphs, and using the SAS Studio built-in tasks. The first part also describes how you can perform basic statistical tests using the interactive point-and-click environment. The second part of the book shows you how to write your own SAS programs, and how to use SAS procedures to perform a variety of tasks. This part of the book also explains how to read data from a variety of sources: text files, Excel workbooks, and CSV files. In order to get familiar with the SAS Studio environment, this book also shows you how to access dozens of interesting data sets that are included with the product. Loading data files into SAS University Edition? Click here for more information.
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Elementary Statistics Using SAS

Author: Sandra D. Schlotzhauer

Publisher: SAS Institute

ISBN: 1629597937

Category: Mathematics

Page: 560

View: 9321

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.
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Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them

Author: Ron Cody

Publisher: SAS Institute

ISBN: 1629597767

Category: Mathematics

Page: 162

View: 9553

Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them presents often-used programming tasks that readers can either use as presented or modify to fit their own programs, all in one handy volume. Esteemed author and SAS expert Ron Cody covers such topics as character to numeric conversion, automatic detection of numeric errors, combining summary data with detail data, restructuring a data set, grouping values using several innovative methods, performing an operation on all character or all numeric variables in a SAS data set, and much more! SAS users of all levels interested in improving their programming skills will benefit from this easy-to-follow collection of tasks. This book is part of the SAS Press program.
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Exercises and Projects for The Little SAS Book, Fifth Edition

Author: Rebecca A. Ottesen,Lora D. Delwiche,Susan J. Slaughter

Publisher: SAS Institute

ISBN: 1629598054

Category: Mathematics

Page: 148

View: 5684

Challenge and improve your SAS skills through thought-provoking questions, exercises, and projects. Each chapter in Exercises and Projects for The Little SAS Book is matched to a chapter in The Little SAS Book, Fifth Edition. This hands-on workbook is designed to hone your SAS skills whether you are a student or a professional. This book covers DATA step programming, report writing, statistical and graphical procedures, the Output Delivery System, macros, and more; contains a mixture of multiple-choice questions, open-ended discussion topics, and programming exercises with selected answers and hints; and includes comprehensive programming projects that are designed to encourage self-study and to test the skills developed by The Little SAS Book. --
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Statistical Programming in SAS

Author: A. John Bailer

Publisher: SAS Institute

ISBN: 9781607645047

Category: Computers

Page: 460

View: 5556

In this guide, the author integrates SAS tools with interesting statistical applications and uses SAS 9.2 as a platform to introduce programming ideas for statistical analysis, data management, and data display and simulation.
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Business Analytics Principles, Concepts, and Applications

What, Why, and How

Author: Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey

Publisher: Pearson Education

ISBN: 0133552187

Category: Business & Economics

Page: 350

View: 8454

Learn everything you need to know to start using business analytics and integrating it throughout your organization. Business Analytics Principles, Concepts, and Applications brings together a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. They offer a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, this text demonstrates the use of IBM's menu-based SPSS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself. A valuable resource for all beginning-to-intermediate-level business analysts and business analytics managers; for MBA/Masters' degree students in the field; and for advanced undergraduates majoring in statistics, applied mathematics, or engineering/operations research.
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Advanced CISSP Prep Guide

Exam Q&A

Author: Ronald L. Krutz,Russell Dean Vines

Publisher: John Wiley & Sons

ISBN: 047145401X

Category: Computers

Page: 352

View: 7976

Get ready to pass the CISSP exam and earn your certification with this advanced test guide Used alone or as an in-depth supplement to the bestselling The CISSP Prep Guide, this book provides you with an even more intensive preparation for the CISSP exam. With the help of more than 300 advanced questions and detailed answers, you'll gain a better understanding of the key concepts associated with the ten domains of the common body of knowledge (CBK). Each question is designed to test you on the information you'll need to know in order to pass the exam. Along with explanations of the answers to these advanced questions, you'll find discussions on some common incorrect responses as well. In addition to serving as an excellent tutorial, this book presents you with the latest developments in information security. It includes new information on: Carnivore, Echelon, and the U.S. Patriot Act The Digital Millennium Copyright Act (DMCA) and recent rulings The European Union Electronic Signature Directive The Advanced Encryption Standard, biometrics, and the Software Capability Maturity Model Genetic algorithms and wireless security models New threats and countermeasures The CD-ROM includes all the questions and answers from the book with the Boson-powered test engine.
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Time Series Analysis and Its Applications

With R Examples

Author: Robert H. Shumway,David S. Stoffer

Publisher: Springer

ISBN: 3319524526

Category: Mathematics

Page: 562

View: 8716

The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The book is designed as a textbook for graduate level students in the physical, biological, and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods. This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series. An additional file is available on the book’s website for download, making all the data sets and scripts easy to load into R.
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Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT

Theory and Applications

Author: Iain L. J. Brown, Ph.D

Publisher: SAS Institute

ISBN: 1629594865

Category: Mathematics

Page: 174

View: 2567

Combine complex concepts facing the financial sector with the software toolsets available to analysts. The credit decisions you make are dependent on the data, models, and tools that you use to determine them. Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory and Applications combines both theoretical explanation and practical applications to define as well as demonstrate how you can build credit risk models using SAS Enterprise Miner and SAS/STAT and apply them into practice. The ultimate goal of credit risk is to reduce losses through better and more reliable credit decisions that can be developed and deployed quickly. In this example-driven book, Dr. Brown breaks down the required modeling steps and details how this would be achieved through the implementation of SAS Enterprise Miner and SAS/STAT. Users will solve real-world risk problems as well as comprehensively walk through model development while addressing key concepts in credit risk modeling. The book is aimed at credit risk analysts in retail banking, but its applications apply to risk modeling outside of the retail banking sphere. Those who would benefit from this book include credit risk analysts and managers alike, as well as analysts working in fraud, Basel compliancy, and marketing analytics. It is targeted for intermediate users with a specific business focus and some programming background is required. Efficient and effective management of the entire credit risk model lifecycle process enables you to make better credit decisions. Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory and Applications demonstrates how practitioners can more accurately develop credit risk models as well as implement them in a timely fashion. This book is part of the SAS Press Program.
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Predictive Modeling with SAS Enterprise Miner

Practical Solutions for Business Applications, Third Edition

Author: Kattamuri S. Sarma

Publisher: SAS Institute

ISBN: 1635260388

Category: Computers

Page: 574

View: 325

A step-by-step guide to predictive modeling! Kattamuri Sarma's Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition, will show you how to develop and test predictive models quickly using SAS Enterprise Miner. Using realistic data, the book explains complex methods in a simple and practical way to readers from different backgrounds and industries. Incorporating the latest version of Enterprise Miner, this third edition also expands the section on time series. Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. Topics covered include logistic regression, regression, decision trees, neural networks, variable clustering, observation clustering, data imputation, binning, data exploration, variable selection, variable transformation, and much more, including analysis of textual data. Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. Do it all with Predictive Modeling with SAS Enterprise Miner!
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PROC SQL: Beyond the Basics Using SAS, Second Edition

Author: Kirk Paul Lafler

Publisher: SAS Institute

ISBN: 1612907342

Category: Mathematics

Page: 400

View: 8105

Kirk Lafler's PROC SQL: Beyond the Basics Using SAS, Second Edition, offers a step-by-step example-driven guide that helps readers master the language of PROC SQL. Packed with analysis and examples illustrating an assortment of PROC SQL options, statements, and clauses, this book can be approached in a number of ways. Users can read it cover-to-cover or selectively by chapter; they can use the extensive index to find content of interest or refer to the helpful "Summary" that precede each chapter to look for help on a specific topic. The second edition explores new and powerful features in SAS 9.3, and includes such topics as adding data to a table with a SET clause; bulk loading data from Microsoft Excel; distinguishing between DATA step merges and PROC SQL joins; rules for designing indexes; cardinality and index selectivity; and demystifying join algorithms. It also features an expanded discussion of CASE expressions, and new sections on complex query applications, and grouping and performance. Delving into the workings of PROC SQL with greater analysis and discussion, PROC SQL: Beyond the Basic Using SAS, Second Edition, examines a broad range of topics and provides greater detail about this powerful database language using discussion and numerous real-world examples. This book is part of the SAS Press program.
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R for Excel Users

An Introduction to R for Excel Analysts

Author: John L. Taveras

Publisher: Createspace Independent Publishing Platform

ISBN: 9781500566357

Category:

Page: 212

View: 1143

R has a steep learning curve and, if taken in all at once, it can be overwhelming. But we can tame this curve by putting aside visualizations and analysis, and focusing on working with data. This book is all about data manipulation: importing, creating, modifying, filtering, summarizing and reshaping data sets. You will also go deep on the building blocks of R: vectors and functions. The language is simplified and technical lingo is kept to a minimum. You will see analogies to Excel where applicable, to ease your understanding of concepts. Supplemental articles and videos can be found at rforexcelusers.com
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Mastering Enterprise JavaBeans 3.0

Author: Rima Patel Sriganesh,Gerald Brose,Micah Silverman

Publisher: John Wiley & Sons

ISBN: 0470072997

Category: Computers

Page: 720

View: 6070

An invaluable tutorial on the dramatic changes to Enterprise JavaBeans (EJB) 3.0 Featuring myriad changes from its previous versions, EJB 3.0 boasts a very different programming and deployment model, with nearly every aspect of development affected. Even the most experienced EBJ and J2EE developers will need to relearn how to best use EJB to develop mission-critical applications. This author team of experts has taken their combined skills in architecture, development, consulting, and knowledge transfer to explain the various changes to EJB 3.0 as well as the rationale behind these changes. You'll learn the concepts and techniques for authoring distributed, enterprise components in Java from the ground up. Covering basic through advanced subjects, Mastering Enterprise JavaBeans 3.0 is more than 50 percent new and revised. Four new chapters and one new appendix cover the latest features of this new release, and in-depth coverage of the Java Persistence API and the entities defined therein is provided. The authors' main goal is to get you programming with EJB immediately. To that end, you'll learn: * How to implement EJB 3.0 beans, with emphasis on session beans (stateful and stateless) and message-driven beans * Both basic and advanced concepts (such as inheritance, relationships, and so on) of Java Persistence API defined entities * How to develop and deploy EJB 3.0 Web services * How to secure EJB applications * How to integrate EJB applications with the outside world via the Java EE Connector technology * Tips and techniques for designing and deploying EJB for better performance * How clustering in large-scale EJB systems works * Best practices for EJB application design, development, and testing The companion Web site provides all the source code, updates to the source code examples, and a PDF version of the book. Wiley Technology Publishing Timely. Practical. Reliable. Visit the companion Web site at www.wiley.com/go/sriganesh
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Clinical Trials

A Practical Guide to Design, Analysis, and Reporting

Author: Duolao Wang,Ameet Bakhai

Publisher: Remedica

ISBN: 1901346722

Category: Medical

Page: 480

View: 9157

This book aims to demystify clinical trials. It is divided into five sections: fundamentals of trial design, alternative trial designs, basics of statistical analysis, special trial issues in data analysis, and reporting of trials. Using simple language the book explains with illustrations of numerous trial examples, the conceptual and methodological issues that occur at all stages of clinical trial covering trial design, conduct, analysis and reporting. The book is an educational and approachable reference in a difficult area of medicine where clinicians often feel uncertain and this material helps them review, appraise and publish trials and clinical evidence.
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