EM Algorithm and Related Statistical Models

Discover the insightful world of statistical modeling with the book EM Algorithm and Related Statistical Models by Taylor & Francis Inc. Published in 2003, this hardcover edition spans 216 pages, making it a comprehensive resource for those interested in advanced statistical techniques.

This book delves into the formulation and application of the EM algorithm, providing a robust methodology for constructing statistical models in scenarios where only incomplete information is accessible. It also presents specific estimation algorithms designed to tackle challenges associated with incomplete data, making it an essential read for statisticians and data analysts alike.

Whether you are a student, researcher, or professional in the field, EM Algorithm and Related Statistical Models is a valuable addition to your library, offering practical solutions and insights into the complexities of statistical analysis.