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Statistical Data Analysis Using SAS100%: Mervyn G. Marasinghe; Kenneth J. Koehler: Statistical Data Analysis Using SAS (ISBN: 9783319692395) 2018, in english, also as e-book.
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Statistical Data Analysis Using SAS: Intermediate Statistical Methods (Springer Texts in Statistics)71%: Mervyn G. Marasinghe, Kenneth J. Koehler: Statistical Data Analysis Using SAS: Intermediate Statistical Methods (Springer Texts in Statistics) (ISBN: 9783319692388) 2. Edition, in english, Paperback.
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9783319692395 - Kenneth J. Koehler: Statistical Data Analysis Using SAS - Intermediate Statistical Methods
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Statistical Data Analysis Using SAS - Intermediate Statistical Methodssearch

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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.
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9783319692388 - Mervyn G. Marasinghe: Statistical Data Analysis Using SAS - Intermediate Statistical Methods
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Statistical Data Analysis Using SAS - Intermediate Statistical Methodssearch

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Statistical Data Analysis Using SAS: 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. Englisch, Taschenbuch.
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9783319692388 - Marasinghe: / Koehler | Statistical Data Analysis Using SAS | Springer GmbH | 2. Auflage | 2018
Marasinghesearch

/ Koehler | Statistical Data Analysis Using SAS | Springer GmbH | 2. Auflage | 2018search

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ISBN: 9783319692388search or 3319692380, probably in english, Springer-Verlag GmbH, New.

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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.
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9783319692395 - Mervyn G. Marasinghe; Kenneth J. Koehler: Statistical Data Analysis Using SAS
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Statistical Data Analysis Using SASsearch

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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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9783319692388 - Mervyn G. Marasinghe; Kenneth J. Koehler: Statistical Data Analysis Using SAS
Mervyn G. Marasinghe; Kenneth J. Koehlersearch

Statistical Data Analysis Using SASsearch

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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. Soft cover.
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9783319692388 - Statistical Data Analysis Using SAS

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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 appendixMervyn 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.
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9783319692395 - Kenneth J. Koehler, Mervyn G. Marasinghe: Statistical Data Analysis Using SAS
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Statistical Data Analysis Using SAS (2018)search

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9783319692388 - Mervyn G. Marasinghe, Kenneth J. Koehler: Statistical Data Analysis Using SAS: Intermediate Statistical Methods (Springer Texts in Statistics)
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Statistical Data Analysis Using SAS: Intermediate Statistical Methods (Springer Texts in Statistics) (2017)search

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9783319692388 - Marasinghe, Mervyn G.: Statistical Data Analysis Using SAS
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Statistical Data Analysis Using SAS (2018)search

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Erscheinungsdatum: 23.04.2018, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Statistical Data Analysis Using SAS, Titelzusatz: Intermediate Statistical Methods, Auflage: 2. Auflage von 2018 // 2. Auflage, Autor: Marasinghe, Mervyn G. // Koehler, Kenneth, Verlag: Springer-Verlag GmbH // Springer International Publishing, Sprache: Englisch, Schlagworte: Analyse // Datenanalyse // Mathematik // Statistik // Stochastik // Wahrscheinlichkeitsrechnung // Botanik // Datenverarbeitung // Anwendungen // COMPUTERS // Mathematical & Statistical Software // Wahrscheinlichkeitsrechnung und Statistik // Botanik und Pflanzenwissenschaften // Mathematische und statistische Software // allgemein, Rubrik: Mathematik // Wahrscheinlichkeitstheorie, Seiten: 679, Abbildungen: 150 schwarz-weiße Abbildungen, Bibliographie, Herkunft: GROSSBRITANNIEN (GB), Reihe: Statistics and Computing // Springer Texts in Statistics, Informationen: Book, Gewicht: 1309 gr, Verkäufer: averdo.
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9783319692395 - Mervyn G. Marasinghe; Kenneth J. Koehler: Statistical Data Analysis Using SAS
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Statistical Data Analysis Using SASsearch

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statistical modeling, SAS, data analysis, programming, statistics, analysis of random models, analysis of mixed models, statistical graphics, Statistics; Statistics and Computing/Statistics Programs; Probability Theory and Stochastic Processes; Mathematical Software; Statistical Theory and Methods; Plant Sciences, eBook.