Buch, Englisch, 402 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 715 g
ISBN: 978-3-7643-6893-7
Verlag: Springer
Commonly there is no natural place in a traditional curriculum for mathematics or statistics, where a bridge between theory and practice fits into. On the other hand, the demand for an education designed to supplement theoretical training by practial experience has been rapidly increasing.
There exists, consequently, a bit of a dichotomy between theoretical and applied statistics, and this book tries to straddle that gap. It links up the theory of a selection of statistical procedures used in general practice with their application to real world data sets using the statistical software package SAS (Statistical Analysis System). These applications are intended to illustrate the theory and to provide, simultaneously, the ability to use the knowledge effectively and readily in execution.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Naturwissenschaften Biowissenschaften Biowissenschaften
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
Weitere Infos & Material
1. Elements of Exploratory Data Analysis.- 2. Some Mathematical Statistics for the Normal Distribution.- 3. Regression Analysis.- 4. Categorical Data Analysis.- 5. Analysis of Variance.- 6. Discriminant Analysis.- 7. Cluster Analysis.- 8. Principal Components.- Appendix: A Brief Introduction to SAS.- A.1 Preface.- A.1.1 SAS—Modules.- A.1.2 Different Modes with SAS.- A.2 Fundamentals of SAS Programming.- A.2.1 The Display Manager System.- A.2.2 DATA and PROC Steps.- A.2.3 Some Basic SAS Statements.- A.2.4 Programming in a DATA Step.- A.3 Some SAS Procedures.- A.3.1 PROC MEANS.- A.3.2 PROC GPLOT.- A.3.3 PROC IML.- Data Index.
