Statistical Data Analysis Using SAS by Kenneth J. Koehler
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Statistical Data Analysis Using SAS

Statistical Data Analysis Using SAS


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About the Book

Introduction to the SAS Language1.1 Introduction SAS Example A1 1.2 Basic Language: Rules and SyntaxData Values SAS Data SetsVariablesObservationsSAS Names SAS Variable ListsSAS StatementsSyntax of SAS Statements Missing ValuesSAS Programming Statements1.3 Creating SAS Data SetsSAS Example A2SAS Example A31.4 The INPUT StatementList InputFormatted Input Column INPUTCombining INPUT Styles1.5 SAS Data Step Programming Statements and Their UsesAssignment StatementsExample 1.5.1SAS Functions: Conditional ExecutionExample 1.5.2 Example 1.5.3Example 1.5.4Example 1.5.5Example 1.5.6SAS Example A4 Repetitive ComputationExample 1.5.7Example 1.5.8Example 1.5.9Example 1.5.101.6 Data Step Processing SAS Example A5SAS Example A6 SAS Example A71.7 More on INPUT Statement1.7.1 Use of pointer controls1.7.2 The trailing @ line-hold specifier SAS Example A8 1.7.3 The trailing @@ line-hold specifierExample 1.7.11.7.4 Use of RETAIN statement SAS Example A9 1.7.5 The use of line pointer controlsExample 1.7.2 1.8 Using SAS ProceduresThe Proc StepSpecifying Options in the PROC StatementProcedure Information Statements Example 1.8.1Output 1Output 2 Variable Attribute StatementsThe FORMAT statementThe LABEL statementThe LENGTH statementSAS Example A10SAS Example A111.9 Exercises
2 More on SAS Programming and Some Applications2.1 More on the DATA and PROC Steps2.1.1 Reading data from _lesThe INFILE StatementThe FILENAME StatementExample 2.1.1Some In_le Statement Options 2.1.2 Combining SAS data setsSAS Example B1The SET Statement2.1.3 Saving and retrieving permanent SAS data setsSAS Example B2SAS Example B3 2.1.4 User-defined informats and formatsExample 2.1.2SAS Example B4 Example 2.1.3 2.1.5 Creating SAS data sets in procedure stepsSAS Example B5SAS Example B6 SAS Example B72.2.1 The UNIVARIATE procedure Some PROC Statement OptionsSome CLASS Statement OptionsSAS Example B8 2.2.2 The FREQ procedureSome TABLES Statement Options SAS Example B9Phi coefficientContingency coefficient, CCramer's VGamma, Kendall's tau-b, Somers' D Proportional Reduction in Error (PRE) MeasuresPearson correlation coefficient, r2 and Spearman rank-order correlation coefficientSAS Example B102.3 Some Useful Base SAS Procedures2.3.1 The TABULATE procedure SAS Example B11SAS Example B122.3.2 The REPORT procedureSAS Example B13SAS Example B14 SAS Example B152.4 Exercises
3 Introduction to SAS Graphics3.1 Introduction Template-based graphics (ODS graphics) ODS Statistical Graphics proceduresSAS Example C1Traditional SAS graphics via SAS/GRAPH 3.2 Template-based graphics (SAS/ODS graphics)SAS Example C2SAS Example C3SAS Example C4
About the Author: 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. He has taught a data analysis course based on SAS for over 35 years and offered workshops and short-courses on various aspects of SAS including traditional SAS programming, SAS Enterprise Guide, SAS Enterprise Miner, and JMP for many years to both university audiences and non-academic participants.

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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Product Details
  • ISBN-13: 9783319692388
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 2nd ed. 2018
  • Language: English
  • Returnable: Y
  • Spine Width: 35 mm
  • Weight: 1237 gr
  • ISBN-10: 3319692380
  • Publisher Date: 26 Apr 2018
  • Binding: Paperback
  • Height: 254 mm
  • No of Pages: 679
  • Series Title: Springer Texts in Statistics
  • Sub Title: Intermediate Statistical Methods
  • Width: 178 mm


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