The Resource Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic book)  (electronic book)
Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic book)  (electronic book)
Resource Information
The item Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic book)  (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.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 book)  (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
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 p. 409 illus., 390 illus. in color.)
 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
 9783319692388
 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
 Cataloging source
 UPM
 http://library.link/vocab/creatorName
 Marasinghe, Mervyn G
 Dewey number
 519.5
 Index
 no index present
 LC call number
 QA276280
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorDate
 1950
 http://library.link/vocab/relatedWorkOrContributorName
 Koehler, Kenneth J.
 Series statement
 Springer Texts in Statistics,
 http://library.link/vocab/subjectName

 Statistics
 Botany
 Computer software
 Probabilities
 Statistics
 Statistics and Computing/Statistics Programs
 Probability Theory and Stochastic Processes
 Mathematical Software
 Statistical Theory and Methods
 Plant Sciences
 Label
 Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic book)  (electronic book)
 Antecedent source
 mixed
 Bibliography note
 Includes bibliographical references and index
 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
 Dimensions
 unknown
 Edition
 2nd ed. 2018.
 Extent
 1 online resource (XIV, 679 p. 409 illus., 390 illus. in color.)
 File format
 multiple file formats
 Form of item
 online
 Isbn
 9783319692388
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319692395
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 on1038424051
 (OCoLC)1038424051
 Label
 Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic book)  (electronic book)
 Antecedent source
 mixed
 Bibliography note
 Includes bibliographical references and index
 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
 Dimensions
 unknown
 Edition
 2nd ed. 2018.
 Extent
 1 online resource (XIV, 679 p. 409 illus., 390 illus. in color.)
 File format
 multiple file formats
 Form of item
 online
 Isbn
 9783319692388
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319692395
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 on1038424051
 (OCoLC)1038424051
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/StatisticalDataAnalysisUsingSAS/tOU2VOMQO8c/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/StatisticalDataAnalysisUsingSAS/tOU2VOMQO8c/">Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic book)  (electronic book)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data  Experimental
Data Citation of the Item Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic book)  (electronic book)
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/StatisticalDataAnalysisUsingSAS/tOU2VOMQO8c/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/StatisticalDataAnalysisUsingSAS/tOU2VOMQO8c/">Statistical Data Analysis Using SAS : Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler, (electronic book)  (electronic book)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>