Buch, Englisch, 290 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 519 g
Complete analysis for data at a loss of homogeneity
Buch, Englisch, 290 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 519 g
ISBN: 978-3-030-82842-4
Verlag: Springer International Publishing
Zielgruppe
Upper undergraduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
Weitere Infos & Material
Chapter 1. General Introduction.- Chapter 2. Mathematical Models for Separating Quantiles from One Another.- Part I: Simple Univariate Regressions versus Quantile.- Chapter 3. Traditional and Robust Regressions versus Quantile.- Chapter 4. Autoregressions versus quantile.- Chapter 5. Discrete Trend Analysis versus Quantile.- Chapter 6. Continuous Trend Analysis versus Quantile.- Binary Poisson / Negative Binomial Regression versus Quantile.- Chapter 8. Robust Standard Errors Regressions versus Quantile.- Chapter 9. Optimal Scaling versus Quantile Regression.- Chapter 10. Intercept only Poisson Regression versus Quantile.- Part II: Multiple Variables Regressions versus Quantile.- Chapter 11. Four Predictors Regressions versus Quantile.- Chapter 12. Gene Expressions Regressions, Traditional versus Quantile.- Chapter 13. Koenker's Multiple Variables Regression with Quantile.- Chapter 14. Interaction Adjusted Regression versus Quantile.- Chapter 15. Quantile Regression to Study Corona Deaths.- Chapter 16. Laboratory Values Predict Survival Sepsis, Traditional Regression versus Quantile.- Chapter 17. Multinomial Poisson Regression versus Quantile.- Chapter 18. Regressions with Inconstant Variability versus Quantile.- Chapter 19. Restructuring Categories into Multiple Dummy Variables versus Quantile.- Chapter 20. Poisson Events per Person per Period of Time versus Quantile.- Part III: Special Regressions versus Quantile.- Chapter 21. Two Stage Least Squares Regressions versus Quantile.- Chapter 22. Partial Correlations versus Quantile Regressions.- Chapter 23. Random Intercept Regression versus Quantile.- Chapter 24. Regression Trees versus Quantile.- Chapter 25. Kernel Regression versus Quantile.- Chapter 26. Quasi-likelihood Regression versus Quantile.- Chapter 27. Summaries.