Daniel Zelterman is professor in the department of biostatistics at Yale University. His research areas include computational statistics, models for discrete valued data, and the design of clinical trials in cancer studies. In his spare time he plays oboe and bassoon in amateur orchestral groups and has backpacked hundreds of miles of the Appalachian Trail.

• Chapter 1. Introduction.- Chapter 2. Elements of R.- Chapter 3. Graphical Displays.- Chapter 4. Basic Linear Algebra.- Chapter 5. The Univariate Normal Distribution.- Chapter 6. Bivariate Normal Distribution.- Chapter 7. Multivariate Normal Distribution.- Chapter 8. Factor Methods.- Chapter 9. Multivariate Linear Regression.- Chapter 10. Discrimination and Classification.- Chapter 11. Clustering Methods.- Chapter 12. Basic Models for Longitudinal Data.- Chapter 13. Time Series Models.- Chapter 14. Other Useful Methods.

Daniel Zelterman is professor in the department of biostatistics at Yale University. His research areas include computational statistics, models for discrete valued data, and the design of clinical trials in cancer studies. In his spare time he plays oboe and bassoon in amateur orchestral groups and has backpacked hundreds of miles of the Appalachian Trail.

• Chapter 1. Introduction.- Chapter 2. Elements of R.- Chapter 3. Graphical Displays.- Chapter 4. Basic Linear Algebra.- Chapter 5. The Univariate Normal Distribution.- Chapter 6. Bivariate Normal Distribution.- Chapter 7. Multivariate Normal Distribution.- Chapter 8. Factor Methods.- Chapter 9. Multivariate Linear Regression.- Chapter 10. Discrimination and Classification.- Chapter 11. Clustering Methods.- Chapter 12. Basic Models for Longitudinal Data.- Chapter 13. Time Series Models.- Chapter 14. Other Useful Methods.

Daniel Zelterman is professor in the department of biostatistics at Yale University. His research areas include computational statistics, models for discrete valued data, and the design of clinical trials in cancer studies. In his spare time he plays oboe and bassoon in amateur orchestral groups and has backpacked hundreds of miles of the Appalachian Trail.

• Chapter 1. Introduction.- Chapter 2. Elements of R.- Chapter 3. Graphical Displays.- Chapter 4. Basic Linear Algebra.- Chapter 5. The Univariate Normal Distribution.- Chapter 6. Bivariate Normal Distribution.- Chapter 7. Multivariate Normal Distribution.- Chapter 8. Factor Methods.- Chapter 9. Multivariate Linear Regression.- Chapter 10. Discrimination and Classification.- Chapter 11. Clustering Methods.- Chapter 12. Basic Models for Longitudinal Data.- Chapter 13. Time Series Models.- Chapter 14. Other Useful Methods.