The Resource Statistical hypothesis testing with SAS and R, Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the RuhrUniversität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund Univeristy of Applied Sciences and Arts, Dortmund, Germany
Statistical hypothesis testing with SAS and R, Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the RuhrUniversität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund Univeristy of Applied Sciences and Arts, Dortmund, Germany
 Summary

 "Presents a comprehensive guide to hypothesis testing using SAS and R"
 "This book provides a reference guide to statistical tests and their application to data using SAS and R.A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. The test statistic is stated together with annotations on its distribution, along with examples in both SAS and R. Each example contains the code to perform the test, the output, and remarks that explain necessary program parameters"
 Language
 eng
 Extent
 1 online resource
 Contents

 Cover; Title Page; Copyright; Contents; Preface; Part I Introduction; Chapter 1 Statistical hypothesis testing; 1.1 Theory of statistical hypothesis testing; 1.2 Testing statistical hypothesis with SAS and R; 1.2.1 Programming philosophy of SAS and R; 1.2.2 Testing in SAS and RAn example; 1.2.3 Calculating pvalues; 1.3 Presentation of the statistical tests; References; Part II Normal Distribution; Chapter 2 Tests on the mean; 2.1 Onesample tests; 2.1.1 ztest; 2.1.2 ttest; 2.2 Twosample tests; 2.2.1 Twosample ztest; 2.2.2 Twosample pooled ttest; 2.2.3 Welch test; 2.2.4 Paired ztest
 2.2.5 Paired ttestReferences; Chapter 3 Tests on the variance; 3.1 Onesample tests; 3.1.1 x2test on the variance (mean known); 3.1.2 x2test on the variance (mean unknown); 3.2 Twosample tests; 3.2.1 Twosample Ftest on variances of two populations; 3.2.2 ttest on variances of two dependent populations; References; Part III Binomial Distribution; Chapter 4 Tests on proportions; 4.1 Onesample tests; 4.1.1 Binomial test; 4.2 Twosample tests; 4.2.1 ztest for the difference of two proportions (unpooled variances); 4.2.2 ztest for the equality between two proportions (pooled variances)
 4.3 Ksample tests4.3.1 Ksample binomial test; References; Part IV Other Distributions; Chapter 5 Poisson distribution; 5.1 Tests on the Poisson parameter; 5.1.1 ztest on the Poisson parameter; 5.1.2 Exact test on the Poisson parameter; 5.1.3 ztest on the difference between two Poisson parameters; References; Chapter 6 Exponential distribution; 6.1 Test on the parameter of an exponential distribution; 6.1.1 ztest on the parameter of an exponential distribution; Reference; Part V Correlation; Chapter 7 Tests on association; 7.1 Onesample tests
 7.1.1 Pearson's product moment correlation coefficient7.1.2 Spearman's rank correlation coefficient; 7.1.3 Partial correlation; 7.2 Twosample tests; 7.2.1 ztest for two correlation coefficients (independent populations); References; Part VI Nonparametric Tests; Chapter 8 Tests on location; 8.1 Onesample tests; 8.1.1 Sign test; 8.1.2 Wilcoxon signedrank test; 8.2 Twosample tests; 8.2.1 Wilcoxon ranksum test (MannWhitney U test); 8.2.2 Wilcoxon matchedpairs signedrank test; 8.3 Ksample tests; 8.3.1 KruskalWallis test; References; Chapter 9 Tests on scale difference
 9.1 Twosample tests9.1.1 SiegelTukey test; 9.1.2 AnsariBradley test; 9.1.3 Mood test; References; Chapter 10 Other tests; 10.1 Twosample tests; 10.1.1 KolmogorovSmirnov twosample test (Smirnov test); References; Part VII GoodnessofFit Tests; Chapter 11 Tests on normality; 11.1 Tests based on the EDF; 11.1.1 KolmogorovSmirnov test (Lilliefors test for normality); 11.1.2 AndersonDarling test; 11.1.3 Cramérvon Mises test; 11.2 Tests not based on the EDF; 11.2.1 ShapiroWilk test; 11.2.2 JarqueBera test; References; Chapter 12 Tests on other distributions; 12.1 Tests based on the EDF
 Isbn
 9781118762608
 Label
 Statistical hypothesis testing with SAS and R
 Title
 Statistical hypothesis testing with SAS and R
 Statement of responsibility
 Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the RuhrUniversität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund Univeristy of Applied Sciences and Arts, Dortmund, Germany
 Language
 eng
 Summary

 "Presents a comprehensive guide to hypothesis testing using SAS and R"
 "This book provides a reference guide to statistical tests and their application to data using SAS and R.A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. The test statistic is stated together with annotations on its distribution, along with examples in both SAS and R. Each example contains the code to perform the test, the output, and remarks that explain necessary program parameters"
 Assigning source

 Provided by publisher
 Provided by publisher
 Cataloging source
 DLC
 Dewey number
 519.50285/5133
 Index
 index present
 LC call number
 QA277
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Label
 Statistical hypothesis testing with SAS and R, Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the RuhrUniversität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund Univeristy of Applied Sciences and Arts, Dortmund, Germany
 Bibliography note
 Includes bibliographical references and index
 http://library.link/vocab/branchCode

 net
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents

 Cover; Title Page; Copyright; Contents; Preface; Part I Introduction; Chapter 1 Statistical hypothesis testing; 1.1 Theory of statistical hypothesis testing; 1.2 Testing statistical hypothesis with SAS and R; 1.2.1 Programming philosophy of SAS and R; 1.2.2 Testing in SAS and RAn example; 1.2.3 Calculating pvalues; 1.3 Presentation of the statistical tests; References; Part II Normal Distribution; Chapter 2 Tests on the mean; 2.1 Onesample tests; 2.1.1 ztest; 2.1.2 ttest; 2.2 Twosample tests; 2.2.1 Twosample ztest; 2.2.2 Twosample pooled ttest; 2.2.3 Welch test; 2.2.4 Paired ztest
 2.2.5 Paired ttestReferences; Chapter 3 Tests on the variance; 3.1 Onesample tests; 3.1.1 x2test on the variance (mean known); 3.1.2 x2test on the variance (mean unknown); 3.2 Twosample tests; 3.2.1 Twosample Ftest on variances of two populations; 3.2.2 ttest on variances of two dependent populations; References; Part III Binomial Distribution; Chapter 4 Tests on proportions; 4.1 Onesample tests; 4.1.1 Binomial test; 4.2 Twosample tests; 4.2.1 ztest for the difference of two proportions (unpooled variances); 4.2.2 ztest for the equality between two proportions (pooled variances)
 4.3 Ksample tests4.3.1 Ksample binomial test; References; Part IV Other Distributions; Chapter 5 Poisson distribution; 5.1 Tests on the Poisson parameter; 5.1.1 ztest on the Poisson parameter; 5.1.2 Exact test on the Poisson parameter; 5.1.3 ztest on the difference between two Poisson parameters; References; Chapter 6 Exponential distribution; 6.1 Test on the parameter of an exponential distribution; 6.1.1 ztest on the parameter of an exponential distribution; Reference; Part V Correlation; Chapter 7 Tests on association; 7.1 Onesample tests
 7.1.1 Pearson's product moment correlation coefficient7.1.2 Spearman's rank correlation coefficient; 7.1.3 Partial correlation; 7.2 Twosample tests; 7.2.1 ztest for two correlation coefficients (independent populations); References; Part VI Nonparametric Tests; Chapter 8 Tests on location; 8.1 Onesample tests; 8.1.1 Sign test; 8.1.2 Wilcoxon signedrank test; 8.2 Twosample tests; 8.2.1 Wilcoxon ranksum test (MannWhitney U test); 8.2.2 Wilcoxon matchedpairs signedrank test; 8.3 Ksample tests; 8.3.1 KruskalWallis test; References; Chapter 9 Tests on scale difference
 9.1 Twosample tests9.1.1 SiegelTukey test; 9.1.2 AnsariBradley test; 9.1.3 Mood test; References; Chapter 10 Other tests; 10.1 Twosample tests; 10.1.1 KolmogorovSmirnov twosample test (Smirnov test); References; Part VII GoodnessofFit Tests; Chapter 11 Tests on normality; 11.1 Tests based on the EDF; 11.1.1 KolmogorovSmirnov test (Lilliefors test for normality); 11.1.2 AndersonDarling test; 11.1.3 Cramérvon Mises test; 11.2 Tests not based on the EDF; 11.2.1 ShapiroWilk test; 11.2.2 JarqueBera test; References; Chapter 12 Tests on other distributions; 12.1 Tests based on the EDF
 Control code
 ocn862222319
 Extent
 1 online resource
 Form of item
 online
 Isbn
 9781118762608
 Lccn
 2013044439
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 http://library.link/vocab/ext/overdrive/overdriveId
 60e909184d9e4544827e9806b2ace14a
 http://library.link/vocab/recordID
 .b32759708
 Specific material designation
 remote
 System control number

 (OCoLC)862222319
 pebcs1118762584
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