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Zusatztext "The authors provide a useful website for the book [which] contains the many data sets used in the examples and exercises! as well as the SAS jobs. ? [T]his book could be a very good source of supplementary! applied material ? [or] an excellent book for a second course in practical applications." - Computers & GeosciencesPromo Copy Informationen zum Autor Preben Blaesild, Jorgen Granfeldt Klappentext Offers an introduction to the fundamental parametric statistical models applied to data analysis in biology and geology. This book incorporates use of the SAS statistical software package to illustrate the statistical tools described. Zusammenfassung Offers an introduction to the fundamental parametric statistical models applied to data analysis in biology and geology. This book incorporates use of the SAS statistical software package to illustrate the statistical tools described. Inhaltsverzeichnis STATISTICAL ANALYSISDataModel SpecificationModel CheckingStatistical InferenceConcluding RemarksPRELIMINARY INVESTIGATIONSDot Diagrams and Bar ChartsHistogramsFractile DiagramsFractile Diagrams for the Normal DistributionTransformationConcluding RemarksAnnex to Chapter 2NORMAL DATAOne SampleAnnex to SectionMain Points in SectionTwo or More SamplesMain Points in SectionLinear RegressionAnnex to SectionMain Points in SectionSupplement to ChapterThe Normal Distribution and Related DistributionsMultivariate Normal DistributionsLINEAR NORMAL MODELSThe Linear Normal ModelMain Points in SectionComparison of Regression LinesAnnex to SectionTwo-way Analysis of VarianceAnnex to Section 4AN INTRODUCTION TO POWER OF TESTS AND DESIGN OF EXPERIMENTSPower of TestsReduction of s 2- An Example of BlockingControl Plot for the Paired t-TestThe Paired t--Test and Two-Way Analysis of VarianceAnnex to ChapterSupplement to Chapter 5Non-Central t-! c! and F-DistributionsCORRELATIONIntroductionDefinitionsExamplesThe Bivariate Normal DistributionModel CheckingInference on r Based on a Single Bivariate Normal SampleInference on r Based on Several Bivariate Normal SamplesCorrelation and RegressionInterpretation of CorrelationFurther Topics in the Bivariate Normal DistributionAnnex to Chapter 6Main Points in Section 6THE MULTINOMIAL DISTRIBUTIONExamplesInference in One Multinomial DistributionInference in Several Multinomial DistributionsFisher's Exact TestTest for Goodness of FitSequence of ModelsAnnex to Chapter 7Main Points in Chapter 7THE POISSON DISTRIBUTIONExamplesProbabilistic Results for the Poisson DistributionOne SampleSeveral SamplesTransformationAnnex to Chapter 8Main Points in Chapter 8 GENERALIZED LINEAR MODELSClasses of DistributionsThe Generalized Linear ModelExamplesMODELS FOR DIRECTIONAL DATANotationExamplesThe Circular Normal DistributionOne SampleSeveral SamplesAnnex to Chapter 10Supplement to Chapter 10Descriptive Measures for Directional DataFurther AnalogiesTHE LIKELIHOOD METHODLikelihood InferenceConcepts from General Test TheoryApproximative Likelihood Theory SOME NONPARAMETRIC TESTSSign TestRank TestsAnnex to Chapter 12Main Points in Chapter 12APPENDICESSimulated Fractile DiagramsThe Newton-Raphson ProcedureREFERENCESINDEX ...
List of contents
Statistical Analysis. Preliminary Investigations. Normal Data. Linear Normal Data. An Introduction to Power of Tests and Design of Experiments. The Multinomial Distribution. The Poisson Distribution. Generalized Linear Models. Models for Directional Data. The Likelihood Method. Simulated Fractal Diagrams. The Newton-Raphson Procedure.
