Statistical Data Analysis Using SAS - 10 Angebote vergleichen

Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, Free shipping.
Von Händler/Antiquariat, The Book Depository [54837791], London, United Kingdom.
Language: English. Brand new Book. This book tries to cut through the mathematical talk about statistics and shows you how exactly a particular statistical tool is used along with necessary things such as assumptions and how the results of the analysis are interpreted in the context of a problem. You can implement these tools again and again once you master them and also master the art of identifying where a particular statistical tool is suitable for use. The book uses R statistical language as its software platform. R is a free and opensource package.

Lieferung aus: Deutschland, Versandkostenfrei.
Statistical Data Analysis Using SAS: This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are p- marily graduate majors or advanced undergraduate students from a variety of disciplines. These students typically have taken an introductory-level s- tistical methods course that requires the use a software system such as SAS for performing statistical analysis. Thus students are expected to have an - derstanding of basic concepts of statistical inference such as estimation and hypothesis testing. Understandably, adequate time is not available in a rst course in stat- tical methods to cover the use of a software system adequately in the amount of time available for instruction. The aim of this book is to teach how to use the SAS system for data analysis. The SAS language is introduced at a level of sophistication not found in most introductory SAS books. Important features such as SAS data step programming, pointers, and line-hold spe- ers are described in detail. The powerful graphics support available in SAS is emphasized throughout, and many worked SAS program examples contain graphic components. Englisch, Ebook.

Von Händler/Antiquariat, Paperbackshop-US [8408184], Wood Dale, IL, U.S.A.
New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, GLOS, United Kingdom.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Lieferung aus: Schweiz, Lagernd, zzgl. Versandkosten.
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. eBook.

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Lieferung aus: Vereinigte Staaten von Amerika, plus shipping, Shipping area: STOCKNEW.
Von Händler/Antiquariat, Alibris, NV, Sparks, [RE:5].
Trade paperback.

Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, plus shipping, Shipping area: EUR.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover.

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Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Statistical-Analysis-Using-R~~Rupesh-Kumar, Statistical Analysis Using R, Paperback.