Parameter Estimation and Hypothesis Testing

The parameter estimation and hypothesis testing are the basic tools in statistical inference.

These techniques occur in many applications of data processing, and methods of Monte Carlo have become an essential tool to assess performance.

Educational Content

For pedagogical purposes the book includes several computational problems and exercices. To prevent students from getting stuck on exercises, detailed corrections are provided.