The Resource Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic resource)
Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic resource)
Resource Information
The item Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
 Summary
 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 nontrivial, realworld, 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 realworld 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.
 Language
 eng
 Edition
 2nd ed. 2018.
 Extent
 1 online resource (XIV, 679 pages)
 Contents

 1 Introduction to the SAS Language
 2 More on SAS Programming and Some Applications
 3 Introduction to SAS Graphics
 4 Statistical Analysis of Regression Models
 5 Analysis of Variance Models
 6 Analysis of Variance: Random and Mixed Effects Models
 7 Beyond Regression and Analysis of Variance
 Appendices
 References
 Isbn
 9783319692395
 Label
 Statistical Data Analysis Using SAS : Intermediate Statistical Methods
 Title
 Statistical Data Analysis Using SAS
 Title remainder
 Intermediate Statistical Methods
 Statement of responsibility
 by Mervyn G. Marasinghe, Kenneth J. Koehler
 Language
 eng
 Summary
 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 nontrivial, realworld, 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 realworld 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.
 Assigning source
 Provided by publisher
 http://library.link/vocab/creatorName
 Marasinghe, Mervyn G
 Image bit depth
 0
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName
 Koehler, Kenneth J.
 Series statement

 Springer eBooks.
 Springer eBooks
 Springer Texts in Statistics,
 http://library.link/vocab/subjectName

 Statistics
 Plant science
 Botany
 Computer software
 Probabilities
 Label
 Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 1 Introduction to the SAS Language  2 More on SAS Programming and Some Applications  3 Introduction to SAS Graphics  4 Statistical Analysis of Regression Models  5 Analysis of Variance Models  6 Analysis of Variance: Random and Mixed Effects Models  7 Beyond Regression and Analysis of Variance  Appendices  References
 Control code
 9783319692395
 Dimensions
 unknown
 Edition
 2nd ed. 2018.
 Extent
 1 online resource (XIV, 679 pages)
 File format
 multiple file formats
 Form of item

 online
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319692395
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other control number
 10.1007/9783319692395
 Other physical details
 409 illustrations, 390 illustrations in color.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)1038424051
 Label
 Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 1 Introduction to the SAS Language  2 More on SAS Programming and Some Applications  3 Introduction to SAS Graphics  4 Statistical Analysis of Regression Models  5 Analysis of Variance Models  6 Analysis of Variance: Random and Mixed Effects Models  7 Beyond Regression and Analysis of Variance  Appendices  References
 Control code
 9783319692395
 Dimensions
 unknown
 Edition
 2nd ed. 2018.
 Extent
 1 online resource (XIV, 679 pages)
 File format
 multiple file formats
 Form of item

 online
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319692395
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other control number
 10.1007/9783319692395
 Other physical details
 409 illustrations, 390 illustrations in color.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)1038424051
Subject
Member of
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