Sas Software Solutions Basic Data Processing

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Sas Software Solutions Basic Data Processing

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Author : Thomas Miron
language : en
Publisher:
Release Date : 1993

Sas Software Solutions Basic Data Processing written by Thomas Miron and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.

New and intermediate users will appreciate this easy-to-use guide to the basics of SAS. Arranged in three parts, readers will find this notable book both a highly detailed usage guide as well as a handy reference packed with examples of SAS programs. Solutions for common data processing problems are provided along with an extensive cross-reference to SAS product documentation. The examples are realistic and cover everything from the most basic commands to the more complex. Specific topics, presented in a task-oriented format, include how to enter, read, and edit data using INPUT, INFILE, SET, and MERGE statements; how to manipulate data using DATA step programming methods; how to combine SAS data sets; how to customize reports; and how to create tables, bar charts, line graphs and plots.

Sas Certified Specialist Prep Guide

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Author : SAS Institute
language : en
Publisher: SAS Institute
Release Date : 2019-02-11

Sas Certified Specialist Prep Guide written by SAS Institute and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-11 with Computers categories.

The SAS® Certified Specialist Prep Guide: Base Programming Using SAS® 9.4 prepares you to take the new SAS 9.4 Base Programming -- Performance-Based Exam. This is the official guide by the SAS Global Certification Program. This prep guide is for both new and experienced SAS users, and it covers all the objectives that are tested on the exam. New in this edition is a workbook whose sample scenarios require you to write code to solve problems and answer questions. Answers for the chapter quizzes and solutions for the sample scenarios in the workbook are included. You will also find links to exam objectives, practice exams, and other resources such as the Base SAS® glossary and a list of practice data sets. Major topics include importing data, creating and modifying SAS data sets, and identifying and correcting both data syntax and programming logic errors. All exam topics are covered in these chapters: Setting Up Practice Data Basic Concepts Accessing Your Data Creating SAS Data Sets Identifying and Correcting SAS Language Errors Creating Reports Understanding DATA Step Processing BY-Group Processing Creating and Managing Variables Combining SAS Data Sets Processing Data with DO Loops SAS Formats and Informats SAS Date, Time, and Datetime Values Using Functions to Manipulate Data Producing Descriptive Statistics Creating Output Practice Programming Scenarios (Workbook)

Sas Programming For R Users

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Author : Jordan Bakerman
language : en
Publisher:
Release Date : 2019-12-09

Sas Programming For R Users written by Jordan Bakerman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-09 with Computers categories.

SAS Programming for R Users, based on the free SAS Education course of the same name, is designed for experienced R users who want to transfer their programming skills to SAS. Emphasis is on programming and not statistical theory or interpretation. You will learn how to write programs in SAS that replicate familiar functions and capabilities in R. This book covers a wide range of topics including the basics of the SAS programming language, how to import data, how to create new variables, random number generation, linear modeling, Interactive Matrix Language (IML), and many other SAS procedures. This book also explains how to write R code directly in the SAS code editor for seamless integration between the two tools. Exercises are provided at the end of each chapter so that you can test your knowledge and practice your programming skills.

The Analysis Of Variance

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Author : Hardeo Sahai
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

The Analysis Of Variance written by Hardeo Sahai and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.

The analysis of variance (ANOYA) models have become one of the most widely used tools of modern statistics for analyzing multifactor data. The ANOYA models provide versatile statistical tools for studying the relationship between a dependent variable and one or more independent variables. The ANOYA mod els are employed to determine whether different variables interact and which factors or factor combinations are most important. They are appealing because they provide a conceptually simple technique for investigating statistical rela tionships among different independent variables known as factors. Currently there are several texts and monographs available on the sub ject. However, some of them such as those of Scheffe (1959) and Fisher and McDonald (1978), are written for mathematically advanced readers, requiring a good background in calculus, matrix algebra, and statistical theory; whereas others such as Guenther (1964), Huitson (1971), and Dunn and Clark (1987), although they assume only a background in elementary algebra and statistics, treat the subject somewhat scantily and provide only a superficial discussion of the random and mixed effects analysis of variance.

Getting Started With Sas Programming

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Author : Ron Cody
language : en
Publisher: SAS Institute
Release Date : 2021-02-24

Getting Started With Sas Programming written by Ron Cody and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-24 with Computers categories.

Get up and running with SAS using Ron Cody’s easy-to-follow, step-by-step guide. Aimed at beginners, Getting Started with SAS Programming: Using SAS Studio in the Cloud uses short examples to teach SAS programming from the basics to more advanced topics in the point-and-click interactive environment of SAS Studio. To begin, you will learn how to register for SAS OnDemand for Academics, an online delivery platform for teaching and learning statistical analysis that provides free access to SAS software via the cloud. The first part of the book shows you how to use SAS Studio built-in tasks to produce a report, summarize data, and create charts and graphs. It also describes how you can perform basic statistical tests using the interactive point-and-click environment. The second part of the book uses easy-to-follow examples to show 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 SAS OnDemand for Academics platform.

Applied Data Mining

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Author : Paolo Giudici
language : en
Publisher: John Wiley & Sons
Release Date : 2005-09-27

Applied Data Mining written by Paolo Giudici and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-27 with Computers categories.

Data mining can be defined as the process of selection, explorationand modelling of large databases, in order to discover models andpatterns. The increasing availability of data in the currentinformation society has led to the need for valid tools for itsmodelling and analysis. Data mining and applied statistical methodsare the appropriate tools to extract such knowledge from data.Applications occur in many different fields, including statistics,computer science, machine learning, economics, marketing andfinance. This book is the first to describe applied data mining methodsin a consistent statistical framework, and then show how they canbe applied in practice. All the methods described are eithercomputational, or of a statistical modelling nature. Complexprobabilistic models and mathematical tools are not used, so thebook is accessible to a wide audience of students and industryprofessionals. The second half of the book consists of nine casestudies, taken from the author's own work in industry, thatdemonstrate how the methods described can be applied to realproblems. Provides a solid introduction to applied data mining methods ina consistent statistical framework Includes coverage of classical, multivariate and Bayesianstatistical methodology Includes many recent developments such as web mining,sequential Bayesian analysis and memory based reasoning Each statistical method described is illustrated with real lifeapplications Features a number of detailed case studies based on appliedprojects within industry Incorporates discussion on software used in data mining, withparticular emphasis on SAS Supported by a website featuring data sets, software andadditional material Includes an extensive bibliography and pointers to furtherreading within the text Author has many years experience teaching introductory andmultivariate statistics and data mining, and working on appliedprojects within industry A valuable resource for advanced undergraduate and graduatestudents of applied statistics, data mining, computer science andeconomics, as well as for professionals working in industry onprojects involving large volumes of data - such as in marketing orfinancial risk management.

Sas Data Integration Studio 4 9 User S Guide

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Author : Sas Institute
language : en
Publisher: SAS Institute
Release Date : 2014-08-01

Sas Data Integration Studio 4 9 User S Guide written by Sas Institute and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-01 with Computers categories.

Describes the main tasks that you can perform in SAS Data Integration Studio, including: data access; data integration; metadata management; data cleansing and enrichment; extract, transform, and load (ETL); extract, load, and transform (ELT); and service-oriented architecture (SOA) and message queue integration.

Statistical Data Analysis Using Sas

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Author : Mervyn G. Marasinghe
language : en
Publisher: Springer
Release Date : 2018-05-13

Statistical Data Analysis Using Sas written by Mervyn G. Marasinghe and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-13 with Computers categories.

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.

How To Be An Actuary A Comprehensive Guide

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Author : Simon Meadows
language : en
Publisher: Richards Education
Release Date :

How To Be An Actuary A Comprehensive Guide written by Simon Meadows and has been published by Richards Education this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.

"How to Be an Actuary: A Comprehensive Guide" is your essential resource for mastering the complex and dynamic field of actuarial science. This in-depth book and course guide offers a complete curriculum for aspiring actuaries, covering foundational concepts, advanced methodologies, and practical applications across diverse actuarial domains. With twenty detailed chapters, each featuring practical exercises, real-world case studies, and expert insights, this guide is designed to equip you with the knowledge and skills needed to excel in the actuarial profession. Whether you're a student preparing for actuarial exams or a professional seeking to advance your career, this comprehensive resource will help you navigate your journey with confidence and expertise.

Data Management Essentials Using Sas And Jmp

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Author : Julie Kezik
language : en
Publisher: Cambridge University Press
Release Date : 2016-06-20

Data Management Essentials Using Sas And Jmp written by Julie Kezik and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-20 with Computers categories.

This hands-on, no-frills tutorial guide equips new and infrequent users with the SAS skills which are essential to data management.