An Introduction Using R
Buch, Englisch, 584 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-03-261797-8
Verlag: Taylor & Francis Ltd
• Computational exercises based on R software are included in each Chapter
• Includes a brief introduction to the basic functions of R software for beginners in R and serves as a ready reference.
• Includes Numerical computations, simulation studies, and visualizations using R software as easy tools to explain abstract concepts
• Provides multiple-choice questions for practice
• Incorporates self-explanatory R codes in every chapter
This textbook is for advanced students, professionals, and academic researchers of Statistics, Biostatistics, Economics and Mathematics.
Zielgruppe
Academic, Postgraduate, Professional Practice & Development, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
- Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
- Mathematik | Informatik Mathematik Stochastik Bayesianische Inferenz
- Sozialwissenschaften Pädagogik Pädagogik
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
Weitere Infos & Material
1. Sigma Field, Borel Field and Probability Measure 2. Random Variables and Random Vectors 3. Distribution Function 4. Expectation and Characteristic Function 5. Independence 6. Almost Sure Convergence and Borel Zero-One Law 7. Convergence in Probability, in Law and in r-th Mean 8. Convergence of a Sequence of Expectations 9. Laws of Large Numbers 10. Central Limit Theorem 11. Solutions to Conceptual Exercises 12. Bibliography 13. Index