Ch. 1. Introduction -- Ch. 2. Basic Data Handling -- Ch. 3. Correlation -- Ch. 4. An Introduction

1. Introduction-- 2. Density and probability function estimation-- 3. Conditional density

1. Introduction -- 2. Criteria for Estimators -- 3. The Classical Linear Regression Model -- 4

1. Introduction -- 2. The One-way Error Component Regression Model -- 3. The Two-way Error

2

1. Introduction -- 2. The one-way error component regression model -- 3. The two-way error

regression models -- pt. 2. Relaxing the assumptions of the classical model. Multicollinearity : what happens

2

/ James H. Stock and Mark W. Watson -- 2: A multivariate time series analysis of the data revision process

Pt. I. Foundations of data analysis. 1. Model specification and applied research. 2. Modelling an

pt. 1. The basic of regression analysis -- pt. 2. Single-equation regression models -- pt. 3. Multi

pt. I. The Basic Regression Model. Ch. 1. An Overview of Regression Analysis. Ch. 2. Ordinary Least