Download or read book SAS Software Companion for Sampling written by Sharon L. Lohr and published by CRC Press. This book was released on 2021-11-30 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: The SAS® Software Companion for Sampling: Design and Analysis, designed to be read alongside Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (SDA; 2022, CRC Press), shows how to use the survey selection and analysis procedures of SAS® software to perform calculations for the examples in SDA. No prior experience with SAS software is needed. Chapter 1 tells you how to access the software, introduces basic features, and helps you get started with analyzing data. Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA, with code, output, and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors. Features of the SAS software procedures are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book, you will know how to use SAS software to select and analyze almost any type of probability sample. All code is available on the book website and is easily adapted for your own survey data analyses. The website also contains all data sets from the examples and exercises in SDA to help you develop your skills through analyzing survey data from social and public opinion research, public health, crime, education, business, agriculture, and ecology

Download or read book SAS Viya written by Kevin D. Smith and published by SAS Institute. This book was released on 2017-02-16 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking you on a journey to learn and apply Python programming in the context of the SAS Viya platform, this book includes examples from creating connections to CAS all the way to simple statistics and machine learning. --

Download or read book SAS and R written by Ken Kleinman and published by CRC Press. This book was released on 2014-07-17 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications. New to the Second Edition This edition now covers RStudio, a powerful and easy-to-use interface for R. It incorporates a number of additional topics, including using application program interfaces (APIs), accessing data through database management systems, using reproducible analysis tools, and statistical analysis with Markov chain Monte Carlo (MCMC) methods and finite mixture models. It also includes extended examples of simulations and many new examples. Enables Easy Mobility between the Two Systems Through the extensive indexing and cross-referencing, users can directly find and implement the material they need. SAS users can look up tasks in the SAS index and then find the associated R code while R users can benefit from the R index in a similar manner. Numerous example analyses demonstrate the code in action and facilitate further exploration. The datasets and code are available for download on the book’s website.

Download or read book SAS 9 1 3 Intelligence Platform written by SAS Institute and published by Sas Inst. This book was released on 2007 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains how to administer the SAS Web applications that run in the middle tier of the SAS Intelligence Platform. The Web applications include the SAS Information Delivery Portal, SAS Web Report Studio, and SAS Web OLAP Viewer for Java.This guide describes the middle-tier environment, provides sample deployment scenarios, and explains how to configure the Web applications for optimal performance. The guide contains instructions for common administrative tasks, such as configuring trusted Web authentication, as well as instructions for administering the individual Web applications. For example, the guide explains how to add content to the SAS Information Delivery Portal and how to control access to that content. This title is also available online.

Download or read book SAS Data Analytic Development written by Troy Martin Hughes and published by John Wiley & Sons. This book was released on 2016-09-19 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design quality SAS software and evaluate SAS software quality SAS Data Analytic Development is the developer’s compendium for writing better-performing software and the manager’s guide to building comprehensive software performance requirements. The text introduces and parallels the International Organization for Standardization (ISO) software product quality model, demonstrating 15 performance requirements that represent dimensions of software quality, including: reliability, recoverability, robustness, execution efficiency (i.e., speed), efficiency, scalability, portability, security, automation, maintainability, modularity, readability, testability, stability, and reusability. The text is intended to be read cover-to-cover or used as a reference tool to instruct, inspire, deliver, and evaluate software quality. A common fault in many software development environments is a focus on functional requirements—the what and how—to the detriment of performance requirements, which specify instead how well software should function (assessed through software execution) or how easily software should be maintained (assessed through code inspection). Without the definition and communication of performance requirements, developers risk either building software that lacks intended quality or wasting time delivering software that exceeds performance objectives—thus, either underperforming or gold-plating, both of which are undesirable. Managers, customers, and other decision makers should also understand the dimensions of software quality both to define performance requirements at project outset as well as to evaluate whether those objectives were met at software completion. As data analytic software, SAS transforms data into information and ultimately knowledge and data-driven decisions. Not surprisingly, data quality is a central focus and theme of SAS literature; however, code quality is far less commonly described and too often references only the speed or efficiency with which software should execute, omitting other critical dimensions of software quality. SAS® software project definitions and technical requirements often fall victim to this paradox, in which rigorous quality requirements exist for data and data products yet not for the software that undergirds them. By demonstrating the cost and benefits of software quality inclusion and the risk of software quality exclusion, stakeholders learn to value, prioritize, implement, and evaluate dimensions of software quality within risk management and project management frameworks of the software development life cycle (SDLC). Thus, SAS Data Analytic Development recalibrates business value, placing code quality on par with data quality, and performance requirements on par with functional requirements.

Download or read book The Little SAS Book written by Lora D. Delwiche and published by SAS Institute. This book was released on 2019-10-11 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 that 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. Nearly every section has been revised to ensure that the sixth edition is fully up-to-date. This edition is also interface-independent, written for all SAS programmers whether they use SAS Studio, SAS Enterprise Guide, or the SAS windowing environment. New sections have been added covering PROC SQL, iterative DO loops, DO WHILE and DO UNTIL statements, %DO statements, using variable names with special characters, the ODS EXCEL destination, and the XLSX LIBNAME engine. This title belongs on every SAS programmer's bookshelf. It's a resource not just to get you started, but one you will return to as you continue to improve your programming skills. Learn more about the updates to The Little SAS Book, Sixth Edition here. Reviews for The Little SAS Book, Sixth Edition can be read here.

Download or read book SAS Programming for Researchers and Social Scientists written by Paul E. Spector and published by SAGE. This book was released on 2001-04-20 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Second Edition SAS® PROGRAMMING FOR RESEARCHERS AND SOCIAL SCIENTISTS By PAUL E. SPECTOR, University of South Florida University of South Florida "Just what the novice SAS programmer needs, particularly those who have no real programming experience. For example, branching is one of the more difficult programming commands for students to implement and the author does an excellent job of explaining this topic clearly and at a basic level. A big plus is the Common Errors section since students will definitely encounter errors." a?Robert Pavur, Management Science, University of North Texas The book that won accolades from thousands has been completely revised! Taking a problem solving approach that focuses on common programming tasks that social scientists encounter in doing data analysis, Spector uses sample programs and examples from social science problems to show readers how to write orderly programs and avoid excessive and disorganized branching. He provides readers with a three-step approach (preplanning, writing the program, and debugging) and tips about helpful features and practices as well as how to avoid certain pitfalls. "Spector has done an excellent job in explaining a somewhat difficult topic in a clear and concise manner. I like the fact that screen captures are included. It allows students to better follow what is being described in the book in relation to what is on the screen." a?Philip Craiger, Computer Science, University of Nebraska, Omaha ThisA bookA provides readers with even more practical tips and advice. New features in this edition include: *New sections on debugging in each chapter that provide advice about common errors *End of chapter Debugging Exercises that offer readers the chance to practice spotting the errors in the sample programs *New section in Chapter 1 on how to use the interface, including how to work with three separate windows, where to write the program, executing the program, managing the program files, and using the F key *Five new appendices, including a Glossary of Programming Terms, A Summary of SAS Language Statements, A Summary of SAS PROCs, Information Sources for SAS PROCs, and Corrections for the Debugging Exercises *Plus, a link to Spector's online SAS course! Appropriate for readers with little or no knowledge of the SAS language, this book will enable readers to run each example, adapt the examples to real problems that the reader may have, and create a program. "A solid introduction to programming in SAS, with a good, brief explanation of how that process differs from the usual point-and-click of Windows-based software such as SPSS and a spreadsheet. Even uninformed students can use it as a guide to creating SAS datasets, manipulating them, and writing programs in the SAS language that will produce all manner of statistical results." a?James P. Whittenburg, History, College of William & Mary A "Bridges the gap between programming syntax and programming applications. In contrast to other books on SAS programming, this book combines a clear explanation of the SAS language with a problem-solving approach to writing a SAS program. It provides the novice programmer with a useful and meaningful model for solving the types of programming problems encountered by re

Download or read book Cody s Data Cleaning Techniques Using SAS Third Edition written by Ron Cody and published by SAS Institute. This book was released on 2017-03-15 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in Ron Cody's signature informal, tutorial style, this book develops and demonstrates data cleaning programs and macros that you can use as written or modify which will make your job of data cleaning easier, faster, and more efficient. --

Download or read book SAS Essentials written by Alan C. Elliott and published by John Wiley & Sons. This book was released on 2023-01-05 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: SAS ESSENTIALS Valuable step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS® Essentials illustrates SAS using hands-on learning techniques and numerous real-world examples; keeping different experience levels in mind, the highly qualified author team has developed the book over 25 years of teaching introductory SAS courses. This book introduces data manipulation, statistical techniques, and the SAS programming language, including SAS macros, reporting results in tables, and factor analysis, as well as sections on character functions, variable manipulation, and merging, appending, and updating files. It features self-contained chapters to enhance the learning process and includes programming approaches for the latest version of the SAS platform. The Third Edition has been updated with expanded examples, a new chapter introducing PROC SQL as well as new end-of-chapter exercises. The Third Edition also includes a companion website with data sets, additional code, notes on SAS programming, functions, ODS, PROC SQL, and SAS Arrays, along with solutions for instructors. Specific sample topics covered in SAS® Essentials include: Getting data into SAS, reading, writing, and importing data, preparing data for analysis, preparing to use SAS procedures, and controlling output using ODS Techniques for creating, editing, and debugging SAS programs, cleaning up messy data sets, and manipulating data using character, time, and numeric functions Other essential computational skills that are utilized by business, government, and organizations alike, and DATA step for data management Using PROC to analyze data, including evaluating quantitative data, analyzing counts and tables, comparing means using T-Tests, correlation and regression, and analysis of variance, nonparametric analysis, logistic regression, factor analysis, and creating custom graphs and reports. SAS® Essentials is a fundamental study resource for professionals preparing for the SAS Base Certification Exam, as well as an ideal textbook for courses in statistics, data analytics, applied SAS programming, and statistical computer applications.

Download or read book PC Mag written by and published by . This book was released on 1988-10-31 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology.

Download or read book Business Statistics Made Easy in SAS written by Gregory Lee and published by SAS Institute. This book was released on 2015-10-30 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to teach businesspeople, students, and others core statistical concepts and applications. It begins with absolute core principles and takes you through an overview of statistics, data and data collection, an introduction to SAS, and basic statistics (descriptive statistics and basic associational statistics). It provides an overview of statistical modeling, effect size, statistical significance and power testing, basics of linear regression, introduction to comparison of means, basics of chi-square tests for categories, extrapolating statistics to business outcomes, and some topical issues in statistics, such as big data, simulation, machine learning, and data warehousing. It teaches the core ideas of statistics through methods such as careful, intuitive written explanations, easy-to-follow diagrams, step-by-step technique implementation, and interesting metaphors. --

Download or read book JSL Companion written by Theresa Utlaut and published by SAS Institute. This book was released on 2018-04-06 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Confidently navigate your JMP Scripting Language journey with this example-driven guide! With more than 200 example scripts and applications, JSL Companion: Applications of the JMP Scripting Language, Second Edition provides scripters with a resource that takes them beyond the basics of the JMP Scripting Language (JSL) and serves as a companion to writing applications. Avid JSL scripters Theresa L. Utlaut, Georgia Z. Morgan, and Kevin C. Anderson have tapped their expertise to write a task-oriented approach that allows readers to learn scripting by immersion. This edition builds on the earlier edition with substantial new content for scripting enhanced JMP features, such as Graph Builder, new query methods, and enriched display box functionality. A new chapter is dedicated to creating applications with the Add-In Builder and Application Builder. The “Know Your Tools” topic has been expanded, including a section on how to use the JMP Debugger. The book begins with an introduction that is intended for the JSL novice and quickly moves into the building blocks of JSL, which include input and output, working with data tables, script-writing essentials, and JMP data structures. The next chapters provide the foundation for building an application and focus on creating reports, communicating with users, customizing displays, and writing flexible scripts. The final chapters include building and deploying applications and helpful tips on planning scripts, debugging, and improving performance.

Download or read book SAS For Dummies written by Stephen McDaniel and published by John Wiley & Sons. This book was released on 2010-03-16 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fun and easy way to learn to use this leading business intelligence tool Written by an author team who is directly involved with SAS, this easy-to-follow guide is fully updated for the latest release of SAS and covers just what you need to put this popular software to work in your business. SAS allows any business or enterprise to improve data delivery, analysis, reporting, movement across a company, data mining, forecasting, statistical analysis, and more. SAS For Dummies, 2nd Edition gives you the necessary background on what SAS can do for you and explains how to use the Enterprise Guide. SAS provides statistical and data analysis tools to help you deal with all kinds of data: operational, financial, performance, and more Places special emphasis on Enterprise Guide and other analytical tools, covering all commonly used features Covers all commonly used features and shows you the practical applications you can put to work in your business Explores how to get various types of data into the software and how to work with databases Covers producing reports and Web reporting tools, analytics, macros, and working with your data In the easy-to-follow, no-nonsense For Dummies format, SAS For Dummies gives you the knowledge and the confidence to get SAS working for your organization. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Download or read book Credit Risk Analytics written by Bart Baesens and published by John Wiley & Sons. This book was released on 2016-10-03 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.

Download or read book Using SAS for Econometrics written by R. Carter Hill and published by Wiley Global Education. This book was released on 2012-04-13 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: A supplement such as Using SAS for Econometrics is quite essential for use in a classroom environment, for those attempting to learn SAS, and for quick and useful reference. The SAS documentation comes in many volumes, and several are thousands of pages long. This makes for a very difficult challenge when getting started with SAS. This volume spans several levels of econometrics. It is suitable for undergraduate students who will use canned SAS statistical procedures, and for graduate students who will use advanced procedures as well as direct programming in SAS's matrix language, discussed in chapter appendices. Material within the chapters is accessible to undergraduate and/or Masters students, with appendices to chapters devoted to more advanced materials and matrix programming.

Download or read book Learning SAS by Example written by Ron Cody and published by SAS Institute. This book was released on 2018-07-03 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Bayesian Estimation of DSGE Models written by Edward P. Herbst and published by Princeton University Press. This book was released on 2015-12-29 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models. The book covers Markov chain Monte Carlo techniques for linearized DSGE models, novel sequential Monte Carlo methods that can be used for parameter inference, and the estimation of nonlinear DSGE models based on particle filter approximations of the likelihood function. The theoretical foundations of the algorithms are discussed in depth, and detailed empirical applications and numerical illustrations are provided. The book also gives invaluable advice on how to tailor these algorithms to specific applications and assess the accuracy and reliability of the computations. Bayesian Estimation of DSGE Models is essential reading for graduate students, academic researchers, and practitioners at policy institutions.