Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting.The text presents algorith

chapter 1|38 pages

- Programming and R

chapter 3|36 pages

- Ordinary Regression

chapter 4|48 pages

- Generalized Linear Models

chapter 5|32 pages

- Maximum Likelihood Estimation

chapter 6|26 pages

- Panel Data

chapter 7|30 pages

- Model Estimation Using Simulation