Preface
Part I	Regression Models
1	Quantile Regression
2	Least Trimmed Squares
3	Errors-in-Variables Models
4	Simultaneuos-Equations Models
5	Hazard Regression
6	Generalized Partial Linear Models
7	Generalized Additive Models
Part II	Data Exploration
8	Growth Regression and Counterfactual Income Dynamics
9	Cluster Analysis
10	Classification and Regression Trees
11	DPLS: Partial Least Squares Program
12	Uncovered Interest Parity
13	Correspondence Analysis
Part III	Dynamic Statistical Systems
14	Long-Memory Analysis
15	ExploRing Persistence in Financial Time Series
16	Flexible Time Series Analysis
17	Multiple Time Series Analysis
18	Robust Kalman Filtering
	Index