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005 20171105115334.0
006 m o d
007 cr |||||||||||
008 131105s2014 enk ob 001 0 eng
010 _a 2013044439
020 _a9781118762615
_q(ePub)
020 _a1118762614
_q(ePub)
020 _a9781118762608
_q(Adobe PDF)
020 _a1118762606
_q(Adobe PDF)
020 _a9781118762585
020 _a1118762584
020 _z9781119950219
_q(hardback)
020 _z111995021X
020 _z9781306322645
020 _z1306322642
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035 _a(OCoLC)862222319
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_z(OCoLC)966386190
037 _a60E90918-4D9E-4544-827E-9806B2ACE14A
_bOverDrive, Inc.
_nhttp://www.overdrive.com
040 _aDLC
_beng
_erda
_epn
_cDLC
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042 _apcc
049 _aMAIN
050 0 0 _aQA277
072 7 _aMAT
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072 7 _aMAT
_x029000
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082 0 0 _a519.50285/5133
_223
084 _aMAT029000
_2bisacsh
100 1 _aTaeger, Dirk,
_eauthor.
245 1 0 _aStatistical hypothesis testing with SAS and R /
_cDirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund Univeristy of Applied Sciences and Arts, Dortmund, Germany.
_h[electronic resource]
264 1 _aChichester, West Sussex :
_bWiley,
_c2014.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aCover; 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 R-An example; 1.2.3 Calculating p-values; 1.3 Presentation of the statistical tests; References; Part II Normal Distribution; Chapter 2 Tests on the mean; 2.1 One-sample tests; 2.1.1 z-test; 2.1.2 t-test; 2.2 Two-sample tests; 2.2.1 Two-sample z-test; 2.2.2 Two-sample pooled t-test; 2.2.3 Welch test; 2.2.4 Paired z-test.
505 8 _a2.2.5 Paired t-testReferences; Chapter 3 Tests on the variance; 3.1 One-sample tests; 3.1.1 x2-test on the variance (mean known); 3.1.2 x2-test on the variance (mean unknown); 3.2 Two-sample tests; 3.2.1 Two-sample F-test on variances of two populations; 3.2.2 t-test on variances of two dependent populations; References; Part III Binomial Distribution; Chapter 4 Tests on proportions; 4.1 One-sample tests; 4.1.1 Binomial test; 4.2 Two-sample tests; 4.2.1 z-test for the difference of two proportions (unpooled variances); 4.2.2 z-test for the equality between two proportions (pooled variances).
505 8 _a4.3 K-sample tests4.3.1 K-sample binomial test; References; Part IV Other Distributions; Chapter 5 Poisson distribution; 5.1 Tests on the Poisson parameter; 5.1.1 z-test on the Poisson parameter; 5.1.2 Exact test on the Poisson parameter; 5.1.3 z-test 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 z-test on the parameter of an exponential distribution; Reference; Part V Correlation; Chapter 7 Tests on association; 7.1 One-sample tests.
505 8 _a7.1.1 Pearson's product moment correlation coefficient7.1.2 Spearman's rank correlation coefficient; 7.1.3 Partial correlation; 7.2 Two-sample tests; 7.2.1 z-test for two correlation coefficients (independent populations); References; Part VI Nonparametric Tests; Chapter 8 Tests on location; 8.1 One-sample tests; 8.1.1 Sign test; 8.1.2 Wilcoxon signed-rank test; 8.2 Two-sample tests; 8.2.1 Wilcoxon rank-sum test (Mann-Whitney U test); 8.2.2 Wilcoxon matched-pairs signed-rank test; 8.3 K-sample tests; 8.3.1 Kruskal-Wallis test; References; Chapter 9 Tests on scale difference.
505 8 _a9.1 Two-sample tests9.1.1 Siegel-Tukey test; 9.1.2 Ansari-Bradley test; 9.1.3 Mood test; References; Chapter 10 Other tests; 10.1 Two-sample tests; 10.1.1 Kolmogorov-Smirnov two-sample test (Smirnov test); References; Part VII Goodness-of-Fit Tests; Chapter 11 Tests on normality; 11.1 Tests based on the EDF; 11.1.1 Kolmogorov-Smirnov test (Lilliefors test for normality); 11.1.2 Anderson-Darling test; 11.1.3 Cramér-von Mises test; 11.2 Tests not based on the EDF; 11.2.1 Shapiro-Wilk test; 11.2.2 Jarque-Bera test; References; Chapter 12 Tests on other distributions; 12.1 Tests based on the EDF.
520 _a"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"--
_cProvided by publisher.
520 _a"Presents a comprehensive guide to hypothesis testing using SAS and R"--
_cProvided by publisher.
588 0 _aPrint version record and CIP data provided by publisher.
650 0 _aStatistical hypothesis testing.
650 0 _aSAS (Computer program language)
650 0 _aR (Computer program language)
650 7 _aMATHEMATICS
_xProbability & Statistics
_xGeneral.
_2bisacsh
650 7 _aTests statistiques.
_2eclas
650 7 _aLangages de programmation.
_2eclas
650 7 _aProgrammation informatique.
_2eclas
650 7 _aModèles mathématiques.
_2eclas
650 7 _aManuels.
_2eclas
650 7 _aR (Computer program language)
_2fast
_0(OCoLC)fst01086207
650 7 _aSAS (Computer program language)
_2fast
_0(OCoLC)fst01738546
650 7 _aStatistical hypothesis testing.
_2fast
_0(OCoLC)fst01132063
650 4 _aMATHEMATICS / Probability & Statistics / General.
655 4 _aElectronic books.
655 0 _aElectronic books.
700 1 _aKuhnt, Sonja,
_eauthor.
776 0 8 _iPrint version:
_aTaeger, Dirk, author.
_tStatistical hypothesis testing with SAS and R.
_dHoboken, NJ : John Wiley & Sons Inc., 2014
_z9781119950219
_w(DLC) 2013041089
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118762585
_zWiley Online Library
942 _2ddc
_cBK
999 _c207073
_d207073