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Author: Rebecca J. Elliott
Publisher: Brooks/Cole
ISBN: 9780534359256
Category : SAS (Computer file)
Languages : en
Pages : 0
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Book Description
LEARNING SAS IN THE COMPUTER LAB, Second Edition gets students up and running quickly with SAS. Using clear sets of steps, Rebecca Elliott provides the SAS basics so students can master computing in statistics and acquire an appreciation of data analysis. This brief, affordable manual will ensure that students can find their way around the many SAS reference manuals.
Author: Rebecca J. Elliott
Publisher: Brooks/Cole
ISBN: 9780534359256
Category : SAS (Computer file)
Languages : en
Pages : 0
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Book Description
LEARNING SAS IN THE COMPUTER LAB, Second Edition gets students up and running quickly with SAS. Using clear sets of steps, Rebecca Elliott provides the SAS basics so students can master computing in statistics and acquire an appreciation of data analysis. This brief, affordable manual will ensure that students can find their way around the many SAS reference manuals.
Author: Rebecca J. Elliott
Publisher: Brooks/Cole
ISBN:
Category : Computers
Languages : en
Pages : 322
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Book Description
Second author given as Christopher H. Morrell on cover.
Author: John C. Brocklebank
Publisher: John Wiley & Sons
ISBN: 9780471395669
Category : Mathematics
Languages : en
Pages : 424
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Book Description
Easy-to-read and comprehensive, this book shows how the SAS System performs multivariate time series analysis and features the advanced SAS procedures STATSPACE, ARIMA, and SPECTRA. The interrelationship of SAS/ETS procedures is demonstrated with an accompanying discussion of how the choice of a procedure depends on the data to be analysed and the reults desired. Other topics covered include detecting sinusoidal components in time series models and performing bivariate corr-spectral analysis and comparing the results with the standard transfer function methodology. The authors? unique approach to integrating students in a variety of disciplines and industries. Emphasis is on correct interpretation of output to draw meaningful conclusions. The volume, co-pubished by SAS and JWS, features both theory and practicality, and accompanies a soon-to-be extensive library of SAS hands-on manuals in a multitude of statistical areas. The book can be used with a number of hardware-specific computing machines including CMS, Mac, MVS, Opem VMS Alpha, Opmen VMS VAX, OS/390, OS/2, UNIX, and Windows.
Author: Susan J. Slaughter
Publisher: SAS Institute
ISBN: 1629608882
Category : Computers
Languages : en
Pages : 330
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Book Description
Learning to use SAS Enterprise Guide has never been easier! Whether you are using SAS Enterprise Guide for the first time, or are looking to expand your skills, this is the book for you! With The Little SAS Enterprise Guide Book, award-winning authors Susan Slaughter and Lora Delwiche help you quickly become productive in the SAS Enterprise Guide point-and-click environment. A series of carefully designed tutorials help you master the basics of the tasks you'll want to do most frequently. The reference section of the book expands on the tutorial topics, covering specific features in more depth. This edition has been completely rewritten, and updated with new features in SAS Enterprise Guide.
Author: Glenn A. Walker
Publisher: SAS Institute
ISBN: 1629590312
Category : Computers
Languages : en
Pages : 552
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Book Description
Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated edition of the popular introductory statistics book for clinical researchers. This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks--all in one place. This book is part of the SAS Press program.
Author: Hardeo Sahai
Publisher: Springer Science & Business Media
ISBN: 1461213444
Category : Mathematics
Languages : en
Pages : 766
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Book Description
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.
Author: Miroslav Kaps
Publisher: CABI
ISBN: 1786390353
Category : Medical
Languages : en
Pages : 563
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Book Description
Designed to cover techniques for analysis of data in the animal sciences, this popular textbook provides an overview of the basic principles of statistics enabling the subsequent applications to be carried out with familiarity and understanding. Each chapter begins by introducing a problem with practical questions, followed by a brief theoretical background. Most topics are followed up with numerical examples to illustrate the methods described using data-sets from animal sciences and related fields. The same examples are then solved using the SAS software package. Written primarily for students and researchers in animal sciences, the text is also useful for those studying agricultural, biological, and veterinary sciences.
Author: Glenn Walker
Publisher: SAS Institute
ISBN: 1607644258
Category : Mathematics
Languages : en
Pages : 553
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Book Description
Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated edition of the popular introductory statistics book for clinical researchers. This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks--all in one place. This book is part of the SAS Press program.
Author: Ramon Littell
Publisher: John Wiley & Sons
ISBN: 0471221740
Category : Mathematics
Languages : en
Pages : 500
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Book Description
Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to analysing linear models with the SAS System. This guide shows how to apply the appropriate procedure to data analysis problems and understand PROC GLM output. Other helpful guidelines and discussions cover the following significant areas: Multivariate linear models; lack-of-fit analysis; covariance and heterogeneity of slopes; a classification with both crossed and nested effects; and analysis of variance for balanced data. This fourth edition includes updated examples, new software-related features, and new material, including a chapter on generalised linear models. Version 8 of the SAS System was used to run the SAS code examples in the book. * Provides clear explanations of how to use SAS to analyse linear models * Includes numerous SAS outputs * Includes new chapter on generalised linear models * Uses version 8 of the SAS system This book assists data analysts who use SAS/STAT software to analyse data using regression analysis and analysis of variance. It assumes familiarity with basic SAS concepts such as creating SAS data sets with the DATA step and manipulating SAS data sets with the procedures in base SAS software.
Author: Katherine Prairie
Publisher: SAS Institute
ISBN: 1612906885
Category : Computers
Languages : en
Pages : 586
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Book Description
Navigate the world of the powerful SQL procedure with Katherine Prairie's Essential PROC SQL Handbook for SAS Users. Written in an easy-to-use, logical format, this comprehensive reference focuses on the functionality of the procedure, as well as the accomplishment of common tasks using PROC SQL, enabling readers to quickly develop and enhance their SQL skills. Features include more than 300 examples of PROC SQL code, plus queries and diagrams showing how the statements are processed, tips and techniques highlighting "need-to-know" concepts, and an appendix designed specifically for SQL Pass-Through Facility and SAS/ACCESS users. This practical guide is written for SAS users of all levels who want to learn how to integrate the SQL procedure into their Base SAS and/or SAS/ACCESS programs as well as SQL programmers who want to adapt their current skills to SAS. This book is part of the SAS Press program.
